m0_61899108

【论文合集】Awesome Diffusion Models 2

介绍diffusion做生成、分类、分割、图像翻译、医学图像的论文。

来源：https://github.com/diff-usion/Awesome-Diffusion-Models

Vision

Generation

Classification

Segmentation

Image Translation

Inverse Problems

Medical Imaging

Vision

Generation

Gradient Domain Diffusion Models for Image Synthesis
Yuanhao Gong
arXiv 2023. [Paper]
5 Sep 2023

Hierarchical Masked 3D Diffusion Model for Video Outpainting
Fanda Fan, Chaoxu Guo, Litong Gong, Biao Wang, Tiezheng Ge, Yuning Jiang, Chunjie Luo, Jianfeng Zhan
arXiv 2023. [Paper] [Github]
5 Sep 2023

Diffusion Models with Deterministic Normalizing Flow Priors
Mohsen Zand, Ali Etemad, Michael Greenspan
arXiv 2023. [Paper] [Github]
3 Sep 2023

Diffusion Inertial Poser: Human Motion Reconstruction from Arbitrary Sparse IMU Configurations
Tom Van Wouwe, Seunghwan Lee, Antoine Falisse, Scott Delp, C. Karen Liu
AAAI 2024. [Paper]
31 Aug 2023

Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints
Davide Scassola, Sebastiano Saccani, Ginevra Carbone, Luca Bortolussi
arXiv 2023. [Paper]
31 Aug 2023

Elucidating the Exposure Bias in Diffusion Models
Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Onal Ertugrul
arXiv 2023. [Paper]
29 Aug 2023

Residual Denoising Diffusion Models
Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu
arXiv 2023. [Paper] [Github]
25 Aug 2023

Efficient Transfer Learning in Diffusion Models via Adversarial Noise
Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu
arXiv 2023. [Paper]
23 Aug 2023

Boosting Diffusion Models with an Adaptive Momentum Sampler
Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu
arXiv 2023. [Paper]
23 Aug 2023

Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image
Liao Shen, Xingyi Li, Huiqiang Sun, Juewen Peng, Ke Xian, Zhiguo Cao, Guosheng Lin
ACM MM 2023. [Paper]
20 Aug 2023

Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks
Mingxuan Liu, Rui Wen, Hong Chen
arXiv 2023. [Paper]
20 Aug 2023

SciRE-Solver: Efficient Sampling of Diffusion Probabilistic Models by Score-integrand Solver with Recursive Derivative Estimation
Shigui Li, Wei Chen, Delu Zeng
arXiv 2023. [Paper]
15 Aug 2023

Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling
Qinsheng Zhang, Jiaming Song, Yongxin Chen
arXiv 2023. [Paper]
4 Aug 2023

Patched Denoising Diffusion Models For High-Resolution Image Synthesis
Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu
arXiv 2023. [Paper]
2 Aug 2023

Spatial-Frequency U-Net for Denoising Diffusion Probabilistic Models
Xin Yuan, Linjie Li, Jianfeng Wang, Zhengyuan Yang, Kevin Lin, Zicheng Liu, Lijuan Wang
arXiv 2023. [Paper]
27 Jul 2023

Synthesis of Batik Motifs using a Diffusion -- Generative Adversarial Network
One Octadion, Novanto Yudistira, Diva Kurnianingtyas
arXiv 2023. [Paper]
22 Jul 2023

DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport
Zezeng Li, ShengHao Li, Zhanpeng Wang, Na Lei, Zhongxuan Luo, Xianfeng Gu
arXiv 2023. [Paper] [Github]
21 Jul 2023

Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Suttisak Wizadwongsa, Worameth Chinchuthakun, Pramook Khungurn, Amit Raj, Supasorn Suwajanakorn
arXiv 2023. [Paper]
20 Jul 2023

Flow Matching in Latent Space
Quan Dao, Hao Phung, Binh Nguyen, Anh Tran
arXiv 2023. [Paper] [Project]
17 Jul 2023

Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation
Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng
arXiv 2023. [Paper]
17 Jul 2023

Complexity Matters: Rethinking the Latent Space for Generative Modeling
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
arXiv 2023. [Paper]
17 Jul 2023

Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
arXiv 2023. [Paper] [Project] [Github]
4 Jul 2023

ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning
Gulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib, Gozde Unal
arXiv 2023. [Paper]
4 Jul 2023

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach
arXiv 2023. [Paper] [Github]
4 Jul 2023

Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation
Tserendorj Adiya, Sanghun Kim, Jung Eun Lee, Jae Shin Yoon, Hwasup Lim
arXiv 2023. [Paper]
2 Jul 2023

Spiking Denoising Diffusion Probabilistic Models
Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu
arXiv 2023. [Paper]
29 Jun 2023

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
arXiv 2023. [Paper]
25 Jun 2023

Decoupled Diffusion Models with Explicit Transition Probability
Yuhang Huang, Zheng Qin, Xinwang Liu, Kai Xu
arXiv 2023. [Paper]
23 Jun 2023

Continuous Layout Editing of Single Images with Diffusion Models
Zhiyuan Zhang, Zhitong Huang, Jing Liao
arXiv 2023. [Paper]
22 Jun 2023

Semi-Implicit Denoising Diffusion Models (SIDDMs)
Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, kayhan Batmanghelich, Tingbo Hou
arXiv 2023. [Paper]
21 Jun 2023

Eliminating Lipschitz Singularities in Diffusion Models
Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng
arXiv 2023. [Paper]
20 Jun 2023

GD-VDM: Generated Depth for better Diffusion-based Video Generation
Ariel Lapid, Idan Achituve, Lior Bracha, Ethan Fetaya
arXiv 2023. [Paper]
19 Jun 2023

Image Harmonization with Diffusion Model
Jiajie Li, Jian Wang, Chen Wang, Jinjun Xiong
arXiv 2023. [Paper]
17 Jun 2023

Training Diffusion Classifiers with Denoising Assistance
Chandramouli Sastry, Sri Harsha Dumpala, Sageev Oore
arXiv 2023. [Paper]
15 Jun 2023

Conditional Human Sketch Synthesis with Explicit Abstraction Control
Dar-Yen Chen
arXiv 2023. [Paper]
15 Jun 2023

Fast Training of Diffusion Models with Masked Transformers
Hongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar
arXiv 2023. [Paper] [Github]
15 Jun 2023

Relation-Aware Diffusion Model for Controllable Poster Layout Generation
Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao
arXiv 2023. [Paper]
15 Jun 2023

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
arXiv 2023. [Paper]
15 Jun 2023

DORSal: Diffusion for Object-centric Representations of Scenes et al.
Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf
arXiv 2023. [Paper]
13 Jun 2023

Fast Diffusion Model
Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang
arXiv 2023. [Paper] [Github]
12 Jun 2023

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu
arXiv 2023. [Paper]
8 Jun 2023

Multi-Architecture Multi-Expert Diffusion Models
Yunsung Lee, Jin-Young Kim, Hyojun Go, Myeongho Jeong, Shinhyeok Oh, Seungtaek Choi
arXiv 2023. [Paper]
8 Jun 2023

Interpreting and Improving Diffusion Models Using the Euclidean Distance Function
Frank Permenter, Chenyang Yuan
arXiv 2023. [Paper]
8 Jun 2023

Video Diffusion Models with Local-Global Context Guidance
Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He
IJCAI 2023. [Paper] [Github]
5 Jun 2023

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
arXiv 2023. [Paper]
5 Jun 2023

Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching
Etrit Haxholli, Marco Lorenzi
arXiv 2023. [Paper]
5 Jun 2023

Temporal Dynamic Quantization for Diffusion Models
Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
arXiv 2023. [Paper]
4 Jun 2023

Conditional Generation from Unconditional Diffusion Models using Denoiser Representations
Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras
arXiv 2023. [Paper]
2 Jun 2023

Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation
Nico Giambi, Giuseppe Lisanti
arXiv 2023. [Paper]
1 Jun 2023

Differential Diffusion: Giving Each Pixel Its Strength
Eran Levin, Ohad Fried
arXiv 2023. [Paper]
1 Jun 2023

Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks
Natalie Abreu, Nathan Vaska, Victoria Helus
arXiv 2023. [Paper]
1 Jun 2023

Addressing Negative Transfer in Diffusion Models
Hyojun Go, JinYoung Kim, Yunsung Lee, Seunghyun Lee, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi
arXiv 2023. [Paper]
1 Jun 2023

A Geometric Perspective on Diffusion Models
Defang Chen, Zhenyu Zhou, Jian-Ping Mei, Chunhua Shen, Chun Chen, Can Wang
arXiv 2023. [Paper]
31 May 2023

Spontaneous symmetry breaking in generative diffusion models
Gabriel Raya, Luca Ambrogioni
arXiv 2023. [Paper]
31 May 2023

Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification
Yifei Liu, Rex Shen, Xiaotong Shen
arXiv 2023. [Paper]
30 May 2023

One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
arXiv 2023. [Paper]
30 May 2023

Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alexandros G. Dimakis, Adam Klivans
arXiv 2023. [Paper]
30 May 2023

Towards Accurate Data-free Quantization for Diffusion Models
Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu
arXiv 2023. [Paper]
30 May 2023

BRIGHT: Bi-level Feature Representation of Image Collections using Groups of Hash Tables
Dingdong Yang, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang
arXiv 2023. [Paper] [Project]
29 May 2023

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
arXiv 2023. [Paper]
29 May 2023

Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling
Tianqi Chen, Mingyuan Zhou
ICML 2023. [Paper] [Github]
28 May 2023

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
Paul S. Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, Ethan Cohen, Aidan J. Dempster, Nathalie Verlinde, Elad Yundler, David Weisberg, Kenneth A. Norman, Tanishq Mathew Abraham
arXiv 2023. [Paper] [Github]
29 May 2023

Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
Jingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang, Marie-Francine Moens
arXiv 2023. [Paper]
26 May 2023

Parallel Sampling of Diffusion Models
Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari
arXiv 2023. [Paper] [Github]
25 May 2023

Trans-Dimensional Generative Modeling via Jump Diffusion Models
Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Tom Rainforth, Arnaud Doucet
arXiv 2023. [Paper]
25 May 2023

UDPM: Upsampling Diffusion Probabilistic Models
Shady Abu-Hussein, Raja Giryes
arXiv 2023. [Paper]
25 May 2023

Unifying GANs and Score-Based Diffusion as Generative Particle Models
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
arXiv 2023. [Paper]
25 May 2023

DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion
Taesun Yeom, Minhyeok Lee
arXiv 2023. [Paper]
24 May 2023

Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
Mingxiao Li, Tingyu Qu, Wei Sun, Marie-Francine Moens
arXiv 2023. [Paper]
24 May 2023

Robust Classification via a Single Diffusion Model
Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu
arXiv 2023. [Paper]
24 May 2023

On the Generalization of Diffusion Model
Mingyang Yi, Jiacheng Sun, Zhenguo Li
arXiv 2023. [Paper]
24 May 2023

VDT: An Empirical Study on Video Diffusion with Transformers
Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding
arXiv 2023. [Paper] [Github]
22 May 2023

Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
Zijiao Chen, Jiaxin Qing, Juan Helen Zhou
arXiv 2023. [Paper] [Project]
19 May 2023

PTQD: Accurate Post-Training Quantization for Diffusion Models
Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
arXiv 2023. [Paper]
18 May 2023

Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Javier E Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin
arXiv 2023. [Paper]
18 May 2023

Structural Pruning for Diffusion Models
Gongfan Fang, Xinyin Ma, Xinchao Wang
arXiv 2023. [Paper] [Github]
18 May 2023

Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
Shitong Shao, Xu Dai, Shouyi Yin, Lujun Li, Huanran Chen, Yang Hu
arXiv 2023. [Paper]
18 May 2023

Controllable Mind Visual Diffusion Model
Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang
arXiv 2023. [Paper]
17 May 2023

Analyzing Bias in Diffusion-based Face Generation Models
Malsha V. Perera, Vishal M. Patel
arXiv 2023. [Paper]
10 May 2023

Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
ICML 2023. [Paper]
6 May 2023

LEO: Generative Latent Image Animator for Human Video Synthesis
Yaohui Wang, Xin Ma, Xinyuan Chen, Antitza Dantcheva, Bo Dai, Yu Qiao
arXiv 2023. [Paper] [Project] [Github]
6 May 2023

Iterative α-(de)Blending: a Minimalist Deterministic Diffusion Model
Eric Heitz, Laurent Belcour, Thomas Chambon
SIGGRAPH 2023. [Paper]
5 May 2023

Reconstructing seen images from human brain activity via guided stochastic search
Reese Kneeland, Jordyn Ojeda, Ghislain St-Yves, Thomas Naselaris
arXiv 2023. [Paper]
30 Apr 2023

Motion-Conditioned Diffusion Model for Controllable Video Synthesis
Tsai-Shien Chen, Chieh Hubert Lin, Hung-Yu Tseng, Tsung-Yi Lin, Ming-Hsuan Yang
arXiv 2023. [Paper] [Project]
27 Apr 2023

Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation
Zihao Wang
arXiv 2023. [Paper]
26 Apr 2023

Exploring Compositional Visual Generation with Latent Classifier Guidance
Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min
CVPR Workshop 2023. [Paper]
25 Apr 2023

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
arXiv 2023. [Paper]
25 Apr 2023

Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb
arXiv 2023. [Paper]
24 Apr 2023

LaMD: Latent Motion Diffusion for Video Generation
Yaosi Hu, Zhenzhong Chen, Chong Luo
arXiv 2023. [Paper]
23 Apr 2023

Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
Guoqiang Zhang, Niwa Kenta, W. Bastiaan Kleijn
CVPR 2023. [Paper] [Github]
22 Apr 2023

NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models
Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler
CVPR 2023. [Paper]
19 Apr 2023

Attributing Image Generative Models using Latent Fingerprints
Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren
arXiv 2023. [Paper]
17 Apr 2023

Identity Encoder for Personalized Diffusion
Yu-Chuan Su, Kelvin C.K. Chan, Yandong Li, Yang Zhao, Han Zhang, Boqing Gong, Huisheng Wang, Xuhui Jia
arXiv 2023. [Paper]
14 Apr 2023

Memory Efficient Diffusion Probabilistic Models via Patch-based Generation
Shinei Arakawa, Hideki Tsunashima, Daichi Horita, Keitaro Tanaka, Shigeo Morishima
arXiv 2023. [Paper]
14 Apr 2023

DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu
arXiv 2023. [Paper] [Github]
14 Apr 2023

DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li
arXiv 2023. [Paper]
13 Apr 2023

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Hanze Dong, Wei Xiong, Deepanshu Goyal, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang
arXiv 2023. [Paper]
13 Apr 2023

DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion
Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman
arXiv 2023. [Paper] [Project] [Github]
12 Apr 2023

Reflected Diffusion Models
Aaron Lou, Stefano Ermon
ICML 2023. [Paper] [Project] [Github]
10 Apr 2023

Binary Latent Diffusion
Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
arXiv 2023. [Paper]
10 Apr 2023

Diffusion Models as Masked Autoencoders
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan Yuille, Christoph Feichtenhofer
arXiv 2023. [Paper] [Project]
6 Apr 2023

Few-shot Semantic Image Synthesis with Class Affinity Transfer
Marlène Careil, Jakob Verbeek, Stéphane Lathuilière
CVPR 2023. [Paper]
5 Apr 2023

EGC: Image Generation and Classification via a Diffusion Energy-Based Model
Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo
arxiv 2023. [Paper] [Project]
4 Apr 2023

Token Merging for Fast Stable Diffusion
Daniel Bolya, Judy Hoffman
arXiv 2023. [Paper] [Github]
30 Mar 2023

A Closer Look at Parameter-Efficient Tuning in Diffusion Models
Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
arXiv 2023. [Paper]
31 Mar 2023

-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
Sam Bond-Taylor, Chris G. Willcocks
arXiv 2023. [Paper]
31 Mar 2023

3D-aware Image Generation using 2D Diffusion Models
Jianfeng Xiang, Jiaolong Yang, Binbin Huang, Xin Tong
arXiv 2023. [Paper] [Project]
31 Mar 2023

Consistent View Synthesis with Pose-Guided Diffusion Models
Hung-Yu Tseng, Qinbo Li, Changil Kim, Suhib Alsisan, Jia-Bin Huang, Johannes Kopf
CVPR 2023. [Paper]
30 Mar 2023

DiffCollage: Parallel Generation of Large Content with Diffusion Models
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
CVPR 2023. [Paper] [Project]
30 Mar 2023

Masked Diffusion Transformer is a Strong Image Synthesizer
Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
arXiv 2023. [Paper] [Github]
25 Mar 2023

Conditional Image-to-Video Generation with Latent Flow Diffusion Models
Haomiao Ni, Changhao Shi, Kai Li, Sharon X. Huang, Martin Renqiang Min
CVPR 2023. [Paper] [Github]
24 Mar 2023

NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation
Shengming Yin, Chenfei Wu, Huan Yang, Jianfeng Wang, Xiaodong Wang, Minheng Ni, Zhengyuan Yang, Linjie Li, Shuguang Liu, Fan Yang, Jianlong Fu, Gong Ming, Lijuan Wang, Zicheng Liu, Houqiang Li, Nan Duan
arXiv 2023. [Paper] [Project]
22 Mar 2023

Object-Centric Slot Diffusion
Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
arXiv 2023. [Paper]
20 Mar 2023

LDMVFI: Video Frame Interpolation with Latent Diffusion Models
Duolikun Danier, Fan Zhang, David Bull
arXiv 2023. [Paper]
16 Mar 2023

Efficient Diffusion Training via Min-SNR Weighting Strategy
Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo
arXiv 2023. [Paper]
16 Mar 2023

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
CVPR 2023. [Paper]
15 Mar 2023

Interpretable ODE-style Generative Diffusion Model via Force Field Construction
Weiyang Jin, Yongpei Zhu, Yuxi Peng
arXiv 2023. [Paper]
14 Mar 2023

Regularized Vector Quantization for Tokenized Image Synthesis
Jiahui Zhang, Fangneng Zhan, Christian Theobalt, Shijian Lu
arXiv 2023. [Paper]
11 Mar 2023

PARASOL: Parametric Style Control for Diffusion Image Synthesis
Gemma Canet Tarrés, Dan Ruta, Tu Bui, John Collomosse
arXiv 2023. [Paper]
11 Mar 2023

Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion
Furkan Ozcelik, Rufin VanRullen
arXiv 2023. [Paper]
9 Mar 2023

Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
Paul Hagemann, Lars Ruthotto, Gabriele Steidl, Nicole Tianjiao Yang
arXiv 2023. [Paper]
8 Mar 2023

TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu
arXiv 2023. [Paper]
7 Mar 2023

Generative Diffusions in Augmented Spaces: A Complete Recipe
Kushagra Pandey, Stephan Mandt
arXiv 2023. [Paper]
3 Mar 2023

Consistency Models
Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever
arXiv 2023. [Paper]
2 Mar 2023

Diffusion Probabilistic Fields
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua M. Susskind, Miguel Ángel Bautista
ICLR 2023. [Paper]
1 Mar 2023

Unsupervised Discovery of Semantic Latent Directions in Diffusion Models
Yong-Hyun Park, Mingi Kwon, Junghyo Jo, Youngjung Uh
arXiv 2023. [Paper]
24 Feb 2023

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl
arXiv 2023. [Paper] [Project]
22 Feb 2023

Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan
arXiv 2023. [Paper]
21 Feb 2023

On Calibrating Diffusion Probabilistic Models
Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng
arXiv 2023. [Paper] [Github]
21 Feb 2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
arXiv 2023. [Paper]
21 Feb 2023

Cross-domain Compositing with Pretrained Diffusion Models
Roy Hachnochi, Mingrui Zhao, Nadav Orzech, Rinon Gal, Ali Mahdavi-Amiri, Daniel Cohen-Or, Amit Haim Bermano
arXiv 2023. [Paper] [Github]
20 Feb 2023

Restoration based Generative Models
Jaemoo Choi, Yesom Park, Myungjoo Kang
arXiv 2023. [Paper]
20 Feb 2023

Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis
arXiv 2023. [Paper] [Github]
17 Feb 2023

LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
Jiaxin Cheng, Xiao Liang, Xingjian Shi, Tong He, Tianjun Xiao, Mu Li
arXiv 2023. [Paper]
16 Feb 2023

Video Probabilistic Diffusion Models in Projected Latent Space
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
arXiv 2023. [Paper] [Github]
15 Feb 2023

DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model
Yichen Peng, Chunqi Zhao, Haoran Xie, Tsukasa Fukusato, Kazunori Miyata
arXiv 2023. [Paper]
14 Feb 2023

Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
Raghav Singhal, Mark Goldstein, Rajesh Ranganath
arXiv 2023. [Paper]
14 Feb 2023

Preconditioned Score-based Generative Models
Li Zhang, Hengyuan Ma, Xiatian Zhu, Jianfeng Feng
arXiv 2023. [Paper] Github]
13 Feb 2023

Star-Shaped Denoising Diffusion Probabilistic Models
Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Aibek Alanov, Dmitry Vetrov
arXiv 2023. [Paper]
10 Feb 2023

UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu
arXiv 2023. [Paper] [Project] [Github]
9 Feb 2023

Geometry of Score Based Generative Models
Sandesh Ghimire, Jinyang Liu, Armand Comas, Davin Hill, Aria Masoomi, Octavia Camps, Jennifer Dy
arXiv 2023. [Paper]
9 Feb 2023

Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
arXiv 2023. [Paper]
8 Feb 2023

PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi Jaakkola
arXiv 2023. [Paper] [Github]
8 Feb 2023

Long Horizon Temperature Scaling
Andy Shih, Dorsa Sadigh, Stefano Ermon
arXiv 2023. [Paper]
7 Feb 2023

Spatial Functa: Scaling Functa to ImageNet Classification and Generation
Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim
arXiv 2023. [Paper]
6 Feb 2023

ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories
Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian
AAAI 2023. [Paper]
5 Feb 2023

Divide and Compose with Score Based Generative Models
Sandesh Ghimire, Armand Comas, Davin Hill, Aria Masoomi, Octavia Camps, Jennifer Dy
arXiv 2023. [Paper] [Github]
5 Feb 2023

Stable Target Field for Reduced Variance Score Estimation in Diffusion Models
Yilun Xu, Shangyuan Tong, Tommi Jaakkola
ICLR 2023. [Paper] [Github]
1 Feb 2023

DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
Tao Yang, Yuwang Wang, Yan Lv, Nanning Zheng
arXiv 2023. [Paper]
31 Jan 2023

Optimizing DDPM Sampling with Shortcut Fine-Tuning
Ying Fan, Kangwook Lee
arXiv 2023. [Paper]
31 Jan 2023

Learning Data Representations with Joint Diffusion Models
Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak
arXiv 2023. [Paper]
31 Jan 2023

ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
Shengmeng Li, Luping Liu, Zenghao Chai, Runnan Li, Xu Tan
arXiv 2023. [Paper]
30 Jan 2023

Don't Play Favorites: Minority Guidance for Diffusion Models
Soobin Um, Jong Chul Ye
arXiv 2023. [Paper] [Github]
29 Jan 2023

Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Suttisak Wizadwongsa, Supasorn Suwajanakorn
ICLR 2023. [Paper]
27 Jan 2023

Input Perturbation Reduces Exposure Bias in Diffusion Models
Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara
arXiv 2023. [Paper] [Github]
27 Jan 2023

Minimizing Trajectory Curvature of ODE-based Generative Models
Sangyun Lee, Beomsu Kim, Jong Chul Ye
arXiv 2023. [Paper]
27 Jan 2023

On the Importance of Noise Scheduling for Diffusion Models
Ting Chen
arXiv 2023. [Paper]
26 Jan 2023

simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom, Jonathan Heek, Tim Salimans
arXiv 2023. [Paper]
26 Jan 2023

Fast Inference in Denoising Diffusion Models via MMD Finetuning
Emanuele Aiello, Diego Valsesia, Enrico Magli
arXiv 2023. [Paper] [Github]
19 Jan 2023

Exploring Transformer Backbones for Image Diffusion Models
Princy Chahal
arXiv 2022. [Paper]
27 Dec 2022

Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models
Zijian Zhang, Zhou Zhao, Zhijie Lin
arXiv 2022. [Paper]
26 Dec 2022

Scalable Adaptive Computation for Iterative Generation
Allan Jabri, David Fleet, Ting Chen
arXiv 2022. [Paper]
22 Dec 2022

Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation
Alex M. Tseng, Tommaso Biancalani, Max Shen, Gabriele Scalia
arXiv 2022. [Paper]
21 Dec 2022

MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, Baining Guo
arXiv 2022. [Paper] [Github]
19 Dec 2022

Scalable Diffusion Models with Transformers
William Peebles, Saining Xie
arXiv 2022. [Paper] [Project] [Github]
19 Dec 2022

DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
Gyeongnyeon Kim, Wooseok Jang, Gyuseong Lee, Susung Hong, Junyoung Seo, Seungryong Kim
arXiv 2022. [Paper] [Project]
17 Dec 2022

Towards Practical Plug-and-Play Diffusion Models
Hyojun Go, Yunsung Lee, Jin-Young Kim, Seunghyun Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi
arXiv 2022. [Paper]
12 Dec 2022

Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli
Matteo Ferrante, Tommaso Boccato, Nicola Toschi
arXiv 2022. [Paper]
13 Dec 2022

MAGVIT: Masked Generative Video Transformer
Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
arXiv 2022. [Paper] Project]
10 Dec 2022

Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang
arXiv 2022. [Paper]
6 Dec 2022

Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models
Naoki Matsunaga, Masato Ishii, Akio Hayakawa, Kenji Suzuki, Takuya Narihira
arXiv 2022. [Paper]
5 Dec 2022

VIDM: Video Implicit Diffusion Models
Kangfu Mei, Vishal M. Patel
arXiv 2022. [Paper] [Project] [Github]
1 Dec 2022

Why Are Conditional Generative Models Better Than Unconditional Ones?
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu
arXiv 2022. [Paper]
1 Dec 2022

High-Fidelity Guided Image Synthesis with Latent Diffusion Models
Jaskirat Singh, Stephen Gould, Liang Zheng
arXiv 2022. [Paper] [Project]
30 Nov 2022

Score-based Continuous-time Discrete Diffusion Models
Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
arXiv 2022. [Paper]
30 Nov 2022

Wavelet Diffusion Models are fast and scalable Image Generators
Hao Phung, Quan Dao, Anh Tran
arXiv 2022. [Paper]
29 Nov 2022

Dimensionality-Varying Diffusion Process
Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng
arXiv 2022. [Paper]
29 Nov 2022

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon
arXiv 2022. [Paper]
28 Nov 2022

Diffusion Probabilistic Model Made Slim
Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
arXiv 2022. [Paper]
27 Nov 2022

Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar
arXiv 2022. [Paper]
24 Nov 2022

Latent Video Diffusion Models for High-Fidelity Video Generation with Arbitrary Lengths
Yingqing He, Tianyu Yang, Yong Zhang, Ying Shan, Qifeng Chen
arXiv 2022. [Paper]
23 Nov 2022

Paint by Example: Exemplar-based Image Editing with Diffusion Models
Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, Fang Wen
arXiv 2022. [Paper]
23 Nov 2022

SinDiffusion: Learning a Diffusion Model from a Single Natural Image
Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li
arXiv 2022. [Paper] [Github]
22 Nov 2022

Accelerating Diffusion Sampling with Classifier-based Feature Distillation
Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
arXiv 2022. [Paper]
22 Nov 2022

SceneComposer: Any-Level Semantic Image Synthesis
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John Collomosse, Jason Kuen, Vishal M. Patel
arXiv 2022. [Paper] [Project]
21 Nov 2022

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training
Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang
arXiv 2022. [Paper]
21 Nov 2022

SinFusion: Training Diffusion Models on a Single Image or Video
Yaniv Nikankin, Niv Haim, Michal Irani
arXiv 2022. [Paper]
21 Nov 2022

MagicVideo: Efficient Video Generation With Latent Diffusion Models
Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
arXiv 2022. [Paper] [Project]
20 Nov 2022

Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou
arXiv 2022. [Paper] [Project] [Github]
13 Nov 2022

Few-shot Image Generation with Diffusion Models
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
arXiv 2022. [Paper]
7 Nov 2022

From Denoising Diffusions to Denoising Markov Models
Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
arXiv 2022. [Paper] [Github]
7 Nov 2022

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
NeurIPS 2022. [Paper] [Github]
4 Nov 2022

An optimal control perspective on diffusion-based generative modeling
Julius Berner, Lorenz Richter, Karen Ullrich
NeurIPS Workshop 2022. [Paper]
2 Nov 2022

Entropic Neural Optimal Transport via Diffusion Processes
Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry Vetrov, Evgeny Burnaev
arXiv 2022. [Paper]
2 Nov 2022

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
NeurIPS 2022 (Oral). [Paper] [Github]
2 Nov 2022

Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models
Vikram Voleti, Christopher Pal, Adam Oberman
NeurIPS Workshop 2022. [Paper]
21 Oct 2022

Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle, Zhengyang Geng, Zico Kolter
NeurIPS 2022. [Paper] [Github]
23 Oct 2022

Representation Learning with Diffusion Models
Jeremias Traub
arXiv 2022. [Paper] [Github]
20 Oct 2022

Self-Guided Diffusion Models
Vincent Tao Hu, David W Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
arXiv 2022. [Paper] [Project]
12 Oct 2022

GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn, Arash Vahdat, Karsten Kreis
NeurIPS 2022. [Paper] [Project [Github]
11 Oct 2022

f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Angel Bautista, Josh Susskind
arXiv 2022. [Paper] [Project]
10 Oct 2022

On Distillation of Guided Diffusion Models
Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans
arXiv 2022. [Paper]
6 Oct 2022

Improving Sample Quality of Diffusion Model Using Self-Attention Guidance
Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim
arXiv 2022. [Paper] [Project]
3 Oct 2022

OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Shlomo Lutati, Lior Wolf
arXiv 2022. [Paper] [Github]
2 Oct 2022

Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2
Ali Borji
arXiv 2022. [Paper] [Github]
2 Oct 2022

Denoising MCMC for Accelerating Diffusion-Based Generative Models
Beomsu Kim, Jong Chul Ye
arXiv 2022. [Paper] [Github]
29 Sep 2022

All are Worth Words: a ViT Backbone for Score-based Diffusion Models
Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu
arXiv 2022. [Paper]
25 Sep 2022

Neural Wavelet-domain Diffusion for 3D Shape Generation
Ka-Hei Hui, Ruihui Li, Jingyu Hu, Chi-Wing Fu
arXiv 2022. [Paper]
19 Sep 2022

Can segmentation models be trained with fully synthetically generated data?
Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S Graham, Tom Vercauteren, M Jorge Cardoso
arXiv 2022. [Paper]
17 Sep 2022

Blurring Diffusion Models
Emiel Hoogeboom, Tim Salimans
arXiv 2022. [Paper]
12 Sep 2022

Soft Diffusion: Score Matching for General Corruptions
Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alexandros G. Dimakis, Peyman Milanfar
arXiv 2022. [Paper]
12 Sep 2022

Improved Masked Image Generation with Token-Critic
José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa
arXiv 2022. [Paper]
9 Sep 2022

Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
arXiv 2022. [Paper]
31 Aug 2022

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wan-Cyuan Fan, Yen-Chun Chen, DongDong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang
arXiv 2022. [Paper]
29 Aug 2022

Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model
Shin-I Cheng, Yu-Jie Chen, Wei-Chen Chiu, Hsin-Ying Lee, Hung-Yu Tseng
arXiv 2022. [Paper] [Project]
26 Aug 2022

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S. Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein
arXiv 2022. [Paper] [Github]
19 Aug 2022

Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar, Roy Ganz, Michael Elad
arXiv 2022. [Paper]
18 Aug 2022

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
Xiulong Yang, Sheng-Min Shih, Yinlin Fu, Xiaoting Zhao, Shihao Ji
arXiv 2022. [Paper] [Github]
16 Aug 2022

Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling
Ki-Ung Song
arXiv 2022. [Paper] [Github]
15 Aug 2022

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Ting Chen, Ruixiang Zhang, Geoffrey Hinton
arXiv 2022. [Paper]
8 Aug 2022

Pyramidal Denoising Diffusion Probabilistic Models
Dohoon Ryu, Jong Chul Ye
arXiv 2022. [Paper]
3 Aug 2022

Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis
Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye
arxiv 2022. [Paper] [Github]
16 Jul 2022

Improving Diffusion Model Efficiency Through Patching
Troy Luhman, Eric Luhman
arXiv 2022. [Paper] [Github]
9 Jul 2022

Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling
Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng
ECCV 2022. [Paper]
5 Jul 2022

SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations
Jinsung Jeon, Noseong Park
arxiv 2022. [Paper]
29 Jun 2022

Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation
Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li
arXiv 2022. [Paper]
23 Jun 2022

Generative Modelling With Inverse Heat Dissipation
Severi Rissanen, Markus Heinonen, Arno Solin
arXiv 2022. [Paper] [Project]
21 Jun 2022

Diffusion models as plug-and-play priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
NeurIPS 2022. [Paper] [Github]
17 Jun 2022

A Flexible Diffusion Model
Weitao Du, Tao Yang, He Zhang, Yuanqi Du
ICML 2023. [Paper]
17 Jun 2022

Lossy Compression with Gaussian Diffusion
Lucas Theis, Tim Salimans, Matthew D. Hoffman, Fabian Mentzer
arXiv 2022. [Paper]
17 Jun 2022

Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
ICML 2022. [Paper] [Github]
16 Jun 2022

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
ICML 2022. [Paper] [Github]
15 Jun 2022

Diffusion Models for Video Prediction and Infilling
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
arXiv 2022. [Paper]
15 Jun 2022

Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
arXiv 2022. [Paper] [Github]
15 Jun 2022

gDDIM: Generalized denoising diffusion implicit models
Qinsheng Zhang, Molei Tao, Yongxin Chen
arXiv 2022. [Paper] [Github]
11 Jun 2022

How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
arXiv 2022. [Paper]
10 Jun 2022

Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models
Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M Patel
arXiv 2022. [Paper]
10 Jun 2022

Accelerating Score-based Generative Models for High-Resolution Image Synthesis
Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, Jianfeng Feng
arXiv 2022. [Paper]
8 Jun 2022

Diffusion-GAN: Training GANs with Diffusion
Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
arXiv 2022. [Paper]
5 Jun 2022

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
NeurrIPS 2022. [Paper] [Github]
2 Jun 2022

Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
NeurIPS 2022. [Paper]
1 Jun 2022

On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Kamil Deja, Anna Kuzina, Tomasz Trzciński, Jakub M. Tomczak
NeurIPS 2022. [Paper]
31 May 2022

Few-Shot Diffusion Models
Giorgio Giannone, Didrik Nielsen, Ole Winther
arXiv 2022. [Paper]
30 May 2022

A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet
arXiv 2022. [Paper]
30 May 2022

Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
NeurIPS 2022. [Paper]
27 May 2022

Accelerating Diffusion Models via Early Stop of the Diffusion Process
Zhaoyang Lyu, Xudong XU, Ceyuan Yang, Dahua Lin, Bo Dai
ICML 2022. [Paper]
25 May 2022

Flexible Diffusion Modeling of Long Videos
William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
arXiv 2022. [Paper] [Github]
23 May 2022

MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal
NeurIPS 2022. [Paper] [Github]
19 May 2022

On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models
Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
CVPR Workshop 2022. [Paper]
8 May 2022

Subspace Diffusion Generative Models
Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola
arXiv 2022. [Paper] [Github]
3 May 2022

Fast Sampling of Diffusion Models with Exponential Integrator
Qinsheng Zhang, Yongxin Chen
arXiv 2022. [Paper]
29 Apr 2022

Semi-Parametric Neural Image Synthesis
Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer
NeurIPS 2022. [Paper]
25 Apr 2022

Video Diffusion Models
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet
NeurIPS 2022. [Paper]
7 Apr 2022

Perception Prioritized Training of Diffusion Models
Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon
CVPR 2022. [Paper] [Github]
1 Apr 2022

Generating High Fidelity Data from Low-density Regions using Diffusion Models
Vikash Sehwag, Caner Hazirbas, Albert Gordo, Firat Ozgenel, Cristian Canton Ferrer
arXiv 2022. [Paper]
31 Mar 2022

Diffusion Models for Counterfactual Explanations
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
arXiv 2022. [Paper]
29 Mar 2022

Denoising Likelihood Score Matching for Conditional Score-based Data Generation
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee
ICLR 2022. [Paper]
27 Mar 2022

Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang, Prakhar Srivastava, Stephan Mandt
arXiv 2022. [Paper] [Github]
16 Mar 2022

Dynamic Dual-Output Diffusion Models
Yaniv Benny, Lior Wolf
CVPR 2022. [Paper]
8 Mar 2022

Conditional Simulation Using Diffusion Schrödinger Bridges
Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
arXiv 2022. [Paper]
27 Feb 2022

Diffusion Causal Models for Counterfactual Estimation
Pedro Sanchez, Sotirios A. Tsaftaris
PMLR 2022. [Paper]
21 Feb 2022

Pseudo Numerical Methods for Diffusion Models on Manifolds
Luping Liu, Yi Ren, Zhijie Lin, Zhou Zhao
ICLR 2022. [Paper] [Github]
20 Feb 2022

Truncated Diffusion Probabilistic Models
Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
arXiv 2022. [Paper]
19 Feb 2022

Understanding DDPM Latent Codes Through Optimal Transport
Valentin Khrulkov, Ivan Oseledets
arXiv 2022. [Paper]
14 Feb 2022

Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi
ICLR 2022. [Paper]
11 Feb 2022

Diffusion bridges vector quantized Variational AutoEncoders
Max Cohen, Guillaume Quispe, Sylvain Le Corff, Charles Ollion, Eric Moulines
ICML 2022. [Paper]
10 Feb 2022

Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans, Jonathan Ho
ICLR 2022. [Paper]
1 Feb 2022

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
ICLR 2022. [Paper]
17 Jan 2022

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar
arXiv 2022. [Paper] [Github]
2 Jan 2022

Itô-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models using Ideal Derivatives
Hideyuki Tachibana, Mocho Go, Muneyoshi Inahara, Yotaro Katayama, Yotaro Watanabe
arXiv 2021. [Paper]
26 Dec 2021

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen
ICML 2021. [Paper] [Github]
20 Dec 2021

High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
arXiv 2021. [Paper] [Github]
20 Dec 2021

Heavy-tailed denoising score matching
Jacob Deasy, Nikola Simidjievski, Pietro Liò
arXiv 2021. [Paper]
17 Dec 2021

High Fidelity Visualization of What Your Self-Supervised Representation Knows About
Florian Bordes, Randall Balestriero, Pascal Vincent
arXiv 2021. [Paper]
16 Dec 2021

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao, Karsten Kreis, Arash Vahdat
arXiv 2021. [Paper] [Project]
15 Dec 2021

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn, Arash Vahdat, Karsten Kreis
ICLR 2022. [Paper] [Project]
14 Dec 2021

More Control for Free! Image Synthesis with Semantic Diffusion Guidance
Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell
arXiv 2021. [Paper]
10 Dec 2021

Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, P.N.Suganthan
arXiv 2021. [Paper]
3 Dec 2021

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn
CVPR 2022. [Paper] [Project] [Github]
30 Dec 2021

Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2021. [Paper]
26 Nov 2021

Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks
arXiv 2021. [Paper] [Github]
24 Nov 2021

Diffusion Normalizing Flow
Qinsheng Zhang, Yongxin Chen
NeurIPS 2021. [Paper] [Github]
14 Oct 2021

Denoising Diffusion Gamma Models
Eliya Nachmani, Robin San Roman, Lior Wolf
arXiv 2021. [Paper]
10 Oct 2021

Score-based Generative Neural Networks for Large-Scale Optimal Transport
Max Daniels, Tyler Maunu, Paul Hand
arXiv 2021. [Paper]
7 Oct 2021

Score-Based Generative Classifiers
Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin A. Dunn, David A. Klindt
arXiv 2021. [Paper]
1 Oct 2021

Classifier-Free Diffusion Guidance
Jonathan Ho, Tim Salimans
NeurIPS Workshop 2021. [Paper]
28 Sep 2021

Bilateral Denoising Diffusion Models
Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, Dong Yu
arXiv 2021. [Paper] [Project]
26 Aug 2021

ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer
NeurIPS 2021. [Paper] [Project]
19 Aug 2021

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
ICCV 2021 (Oral). [Paper] [Github]
6 Aug 2021

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon
ICLR 2022. [Paper] [Project] [Github]
2 Aug 2021

Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg
NeurIPS 2021. [Paper]
7 Jul 2021

Variational Diffusion Models
Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho
arXiv 2021. [Paper] [Github]
1 Jul 2021

Diffusion Priors In Variational Autoencoders
Antoine Wehenkel, Gilles Louppe
ICML Workshop 2021. [Paper]
29 Jun 2021

Deep Generative Learning via Schrödinger Bridge
Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang
ICML 2021. [Paper]
19 Jun 2021

Non Gaussian Denoising Diffusion Models
Eliya Nachmani, Robin San Roman, Lior Wolf
arXiv 2021. [Paper] [Project]
14 Jun 2021

D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon
NeurIPS 2021. [Paper] [Project] [Github]
12 Jun 2021

Score-based Generative Modeling in Latent Space
Arash Vahdat, Karsten Kreis, Jan Kautz
arXiv 2021. [Paper]
10 Jun 2021

Learning to Efficiently Sample from Diffusion Probabilistic Models
Daniel Watson, Jonathan Ho, Mohammad Norouzi, William Chan
arXiv 2021. [Paper]
7 Jun 2021

A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang, Jae Hyun Lim, Aaron Courville
NeurIPS 2021. [Paper] [Github]
5 Jun 2021

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
ICML 2022. [Paper]
10 Jun 2021

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet
arXiv 2021. [Paper] [Project] [Github]
1 Jun 2021

On Fast Sampling of Diffusion Probabilistic Models
Zhifeng Kong, Wei Ping
ICML Workshop 2021. [Paper] [Github]
31 May 2021

Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
JMLR 2021. [Paper] [Project]
30 May 2021

Gotta Go Fast When Generating Data with Score-Based Models
Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas
arXiv 2021. [Paper] [Github]
28 May 2021

Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal, Alex Nichol
arXiv 2021. [Paper] [Github]
11 May 2021

Image Super-Resolution via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
arXiv 2021. [Paper] [Project] [Github]
15 Apr 2021

Noise Estimation for Generative Diffusion Models
Robin San-Roman, Eliya Nachmani, Lior Wolf
arXiv 2021. [Paper]
6 Apr 2021

Improved Denoising Diffusion Probabilistic Models
Alex Nichol, Prafulla Dhariwal
ICLR 2021. [Paper] [Github]
18 Feb 2021

Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song, Conor Durkan, Iain Murray, Stefano Ermon
arXiv 2021. [Paper]
22 Jan 2021

Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman, Troy Luhman
arXiv 2021. [Paper] [Github]
7 Jan 2021

Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma
ICLR 2021. [Paper] [Github]
15 Dec 2020

Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole
ICLR 2021 (Oral). [Paper] [Github]
26 Nov 2020

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
ICML 2021. [Paper]
16 Oct 2020

Denoising Diffusion Implicit Models
Jiaming Song, Chenlin Meng, Stefano Ermon
ICLR 2021. [Paper] [Github]
6 Oct 2020

Adversarial score matching and improved sampling for image generation
Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Rémi Tachet des Combes, Ioannis Mitliagkas
ICLR 2021. [Paper] [Github]
11 Sep 2020

Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, Pieter Abbeel
NeurIPS 2020. [Paper] [Github] [Github2]
19 Jun 2020

Improved Techniques for Training Score-Based Generative Models
Yang Song, Stefano Ermon
NeurIPS 2020. [Paper] [Github]
16 Jun 2020

Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song, Stefano Ermon
NeurIPS 2019. [Paper] [Project] [Github]
12 Jul 2019

Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit
Belinda Tzen, Maxim Raginsky
arXiv 2019. [Paper]
23 May 2019

Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, Surya Ganguli
ICML 2015. [Paper] [Github]
2 Mar 2015

Classification

Diffusion-based 3D Object Detection with Random Boxes
Xin Zhou, Jinghua Hou, Tingting Yao, Dingkang Liang, Zhe Liu, Zhikang Zou, Xiaoqing Ye, Jianwei Cheng, Xiang Bai
PRCV 2023. [Paper]
5 Sep 2023

Diffusion Model as Representation Learner
Xingyi Yang, Xinchao Wang
ICCV 2023. [Paper]
21 Aug 2023

DiffusionTrack: Diffusion Model For Multi-Object Tracking
Run Luo, Zikai Song, Lintao Ma, Jinlin Wei, Wei Yang, Min Yang
arXiv 2023. [Paper]
19 Aug 2023

DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models
Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu
arXiv 2023. [Paper]
15 Aug 2023

IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models
Fadi Boutros, Jonas Henry Grebe, Arjan Kuijper, Naser Damer
ICCV 2023. [Paper]
9 Aug 2023

Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective
Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh
arXiv 2023. [Paper]
2 Aug 2023

Diffusion Model for Camouflaged Object Detection
Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin
ECAI 2023. [Paper]
1 Aug 2023

DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation
Runyang Feng, Yixing Gao, Tze Ho Elden Tse, Xueqing Ma, Hyung Jin Chang
arXiv 2023. [Paper]
31 Jul 2023

MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
Baoquan Zhang, Demin Yu
arXiv 2023. [Paper]
31 Jul 2023

Generative Prompt Model for Weakly Supervised Object Localization
Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan
ICCV 2023. [Paper] [Github]
19 Jul 2023

Diffusion Models Beat GANs on Image Classification
Soumik Mukhopadhyay, Matthew Gwilliam, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Srinidhi Hegde, Tianyi Zhou, Abhinav Shrivastava
arXiv 2023. [Paper]
17 Jul 2023

Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector
Shuo-Yen Lin, Ernie Chu, Che-Hsien Lin, Jun-Cheng Chen, Jia-Ching Wang
arXiv 2023. [Paper]
16 Jul 2023

DreamTeacher: Pretraining Image Backbones with Deep Generative Models
Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler
arXiv 2023. [Paper] [Project]
14 Jul 2023

ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Yingjun Du, Zehao Xiao, Shengcai Liao, Cees Snoek
arXiv 2023. [Paper]
26 Jun 2023

Masked Diffusion Models are Fast Learners
Jiachen Lei, Peng Cheng, Zhongjie Ba, Kui Ren
arXiv 2023. [Paper]
20 Jun 2023

Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric Learning
Michael Tang, David Shustin
arXiv 2023. [Paper]
19 Jun 2023

The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models
Roy Voetman, Maya Aghaei, Klaas Dijkstra
arXiv 2023. [Paper]
16 Jun 2023

When Hyperspectral Image Classification Meets Diffusion Models: An Unsupervised Feature Learning Framework
Jingyi Zhou, Jiamu Sheng, Jiayuan Fan, Peng Ye, Tong He, Bin Wang, Tao Chen
arXiv 2023. [Paper]
15 Jun 2023

DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particles
Tal Daniel, Aviv Tamar
arXiv 2023. [Paper]
9 Jun 2023

Conditional Generation from Unconditional Diffusion Models using Denoiser Representations
Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras
arXiv 2023. [Paper]
2 Jun 2023

DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification
Sitian Shen, Zilin Zhu, Linqian Fan, Harry Zhang, Xinxiao Wu
arXiv 2023. [Paper]
25 May 2023

Training on Thin Air: Improve Image Classification with Generated Data
Yongchao Zhou, Hshmat Sahak, Jimmy Ba
arXiv 2023. [Paper] [Project] [Github]
24 May 2023

Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?
Zheng Li, Yuxuan Li, Penghai Zhao, Renjie Song, Xiang Li, Jian Yang
arXiv 2023. [Paper] [Github]
22 May 2023

Boosting Human-Object Interaction Detection with Text-to-Image Diffusion Model
Jie Yang, Bingliang Li, Fengyu Yang, Ailing Zeng, Lei Zhang, Ruimao Zhang
arXiv 2023. [Paper]
20 May 2023

Meta-DM: Applications of Diffusion Models on Few-Shot Learning
Wentao Hu, Xiurong Jiang, Jiarun Liu, Yuqi Yang, Hui Tian
arXiv 2023. [Paper]
14 May 2023

Class-Balancing Diffusion Models
Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang
CVPR 2023. [Paper]
30 Apr 2023

Synthetic Data from Diffusion Models Improves ImageNet Classification
Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet
arXiv 2023. [Paper]
17 Apr 2023

OVTrack: Open-Vocabulary Multiple Object Tracking
Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu
arXiv 2023. [Paper]
17 Apr 2023

Your Diffusion Model is Secretly a Zero-Shot Classifier
Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak
arXiv 2023. [Paper] [Project]
28 Mar 2023

Text-to-Image Diffusion Models are Zero-Shot Classifiers
Kevin Clark, Priyank Jaini
arXiv 2023. [Paper]
27 Mar 2023

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection
Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Guennemann
arXiv 2023. [Paper]
27 Mar 2023

CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images
Jordan J. Bird, Ahmad Lotfi
arXiv 2023. [Paper]
24 Mar 2023

Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Weilai Xiang, Hongyu Yang, Di Huang, Yunhong Wang
arXiv 2023. [Paper] )]
17 Mar 2023

Boosting Zero-shot Classification with Synthetic Data Diversity via Stable Diffusion
Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh, Wei Xiang, Clinton Fookes
arXiv 2023. [Paper]
7 Feb 2023

Fake it till you make it: Learning(s) from a synthetic ImageNet clone
Mert Bulent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis
CVPR 2023. [Paper] [Project]
16 Dec 2022

DiffAlign : Few-shot learning using diffusion based synthesis and alignment
Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa
arXiv 2022. [Paper]
11 Dec 2022

Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection
Luping Liu, Yi Ren, Xize Cheng, Zhou Zhao
arXiv 2022. [Paper] [Github]
21 Nov 2022

DiffusionDet: Diffusion Model for Object Detection
Shoufa Chen, Peize Sun, Yibing Song, Ping Luo
arXiv 2022. [Paper] [Github]
17 Nov 2022

Denoising Diffusion Models for Out-of-Distribution Detection
Mark S. Graham, Walter H.L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
arXiv 2022. [Paper] [Github]
14 Nov 2022

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan
arXiv 2022. [Paper]
30 Oct 2022

From Points to Functions: Infinite-dimensional Representations in Diffusion Models
Sarthak Mittal, Guillaume Lajoie, Stefan Bauer, Arash Mehrjou
arXiv 2022. [Paper] [Github]
25 Oct 2022

Boomerang: Local sampling on image manifolds using diffusion models
Lorenzo Luzi, Ali Siahkoohi, Paul M Mayer, Josue Casco-Rodriguez, Richard Baraniuk
arXiv 2022. [Paper] [Colab]
21 Oct 2022

Meta-Learning via Classifier(-free) Guidance
Elvis Nava, Seijin Kobayashi, Yifei Yin, Robert K. Katzschmann, Benjamin F. Grewe
arXiv 2022. [Paper]
17 Oct 2022

Segmentation

GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation
Vishnuvardhan Purma, Suhas Srinath, Seshan Srirangarajan, Aanchal Kakkar, Prathosh A. P
arXiv 2023. [Paper] [Github]
4 Sep 2023

Attention as Annotation: Generating Images and Pseudo-masks for Weakly Supervised Semantic Segmentation with Diffusion
Ryota Yoshihashi, Yuya Otsuka, Kenji Doi, Tomohiro Tanaka
AAAI 2022. [Paper]
4 Sep 2023

ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models
Yuhao Du, Yuncheng Jiang, Shuangyi Tan, Xusheng Wu, Qi Dou, Zhen Li, Guanbin Li, Xiang Wan
arXiv 2023. [Paper]
3 Sep 2023

Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models
Minheng Ni, Yabo Zhang, Kailai Feng, Xiaoming Li, Yiwen Guo, Wangmeng Zuo
arXiv 2023. [Paper]
31 Aug 2023

Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI
Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas
arXiv 2023. [Paper]
30 Aug 2023

A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models
Yunguan Fu, Yiwen Li, Shaheer U Saeed, Matthew J Clarkson, Yipeng Hu
arXiv 2023. [Paper] [Github]
30 Aug 2023

Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
Junjiao Tian, Lavisha Aggarwal, Andrea Colaco, Zsolt Kira, Mar Gonzalez-Franco
arXiv 2023. [Paper]
23 Aug 2023

Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation
Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu
arXiv 2023. [Paper]
23 Aug 2023

DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction
Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris N. Metaxas
MICCAI 2023. [Paper] [Github]
18 Aug 2023

Masked Diffusion as Self-supervised Representation Learner
Zixuan Pan, Jianxu Chen, Yiyu Shi
arXiv 2023. [Paper]
10 Aug 2023

DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation
Afshin Bozorgpour, Yousef Sadegheih, Amirhossein Kazerouni, Reza Azad, Dorit Merhof
MICCAI Workshop 2023. [Paper] [Github]
5 Aug 2023

DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
Jingfan Chen, Yuxi Wang, Pengfei Wang, Xiao Chen, Zhaoxiang Zhang, Zhen Lei, Qing Li
arXiv 2023. [Paper]
2 Aug 2023

DAVIS: High-Quality Audio-Visual Separation with Generative Diffusion Models
Chao Huang, Susan Liang, Yapeng Tian, Anurag Kumar, Chenliang Xu
arXiv 2023. [Paper]
31 Jul 2023

Pre-Training with Diffusion models for Dental Radiography segmentation
Jérémy Rousseau, Christian Alaka, Emma Covili, Hippolyte Mayard, Laura Misrachi, Willy Au
arXiv 2023. [Paper]
26 Jul 2023

FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification
Héctor Carrión, Narges Norouzi
MICCAI 2023. [Paper] [Github]
21 Jul 2023

Prompting Diffusion Representations for Cross-Domain Semantic Segmentation
Rui Gong, Martin Danelljan, Han Sun, Julio Delgado Mangas, Luc Van Gool
arXiv 2023. [Paper]
5 Jul 2023

DifFSS: Diffusion Model for Few-Shot Semantic Segmentation
Weimin Tan, Siyuan Chen, Bo Yan
arXiv 2023. [Paper]
3 Jul 2023

Towards Better Certified Segmentation via Diffusion Models
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou
arXiv 2023. [Paper]
16 Jun 2023

Diffusion Models for Zero-Shot Open-Vocabulary Segmentation
Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht
arXiv 2023. [Paper]
15 Jun 2023

Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models
Tomer Amit, Shmuel Shichrur, Tal Shaharabany, Lior Wolf
arXiv 2023. [Paper]
15 Jun 2023

Generative Semantic Communication: Diffusion Models Beyond Bit Recovery
Eleonora Grassucci, Sergio Barbarossa, Danilo Comminiello
arXiv 2023. [Paper] [Github]
7 Jun 2023

Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation
Xinrong Hu, Yu-Jen Chen, Tsung-Yi Ho, Yiyu Shi
arXiv 2023. [Paper]
6 Jun 2023

DFormer: Diffusion-guided Transformer for Universal Image Segmentation
Hefeng Wang, Jiale Cao, Rao Muhammad Anwer, Jin Xie, Fahad Shahbaz Khan, Yanwei Pang
arXiv 2023. [Paper] [Github]
6 Jun 2023

Denoising Diffusion Semantic Segmentation with Mask Prior Modeling
Zeqiang Lai, Yuchen Duan, Jifeng Dai, Ziheng Li, Ying Fu, Hongsheng Li, Yu Qiao, Wenhai Wang
arXiv 2023. [Paper]
2 Jun 2023

Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model
Fenghe Tang, Jianrui Ding, Lingtao Wang, Min Xian, Chunping Ning
arXiv 2023. [Paper] [Github]
16 May 2023

Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation
David Stojanovski, Uxio Hermida, Pablo Lamata, Arian Beqiri, Alberto Gomez
arXiv 2023. [Paper]
9 May 2023

Personalize Segment Anything Model with One Shot
Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Peng Gao, Hongsheng Li
arXiv 2023. [Paper] [Github]
4 May 2023

Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features
Nurislam Tursynbek, Marc Niethammer
arXiv 2023. [Paper]
28 Apr 2023

DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models
Shitong Shao, Xiaohan Yuan, Zhen Huang, Ziming Qiu, Shuai Wang, Kevin Zhou
arXiv 2023. [Paper] [Github]
26 Apr 2023

Realistic Data Enrichment for Robust Image Segmentation in Histopathology
Sarah Cechnicka, James Ball, Callum Arthurs, Candice Roufosse, Bernhard Kainz
arXiv 2023. [Paper]
19 Apr 2023

Denoising Diffusion Medical Models
Pham Ngoc Huy, Tran Minh Quan
IEEE ISBI 2023. [Paper]
19 Apr 2023

Ambiguous Medical Image Segmentation using Diffusion Models
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M Patel
CVPR 2023. [Paper] [Github]
10 Apr 2023

BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation
Tao Chen, Chenhui Wang, Hongming Shan
arXiv 2023. [Paper]
10 Apr 2023

Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive Segmentation
Haipeng Zhou, Lei Zhu, Yuyin Zhou
arXiv 2023. [Paper]
22 Mar 2023

Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading
Matthias Keicher, Matan Atad, David Schinz, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Nassir Navab
arXiv 2023. [Paper]
21 Mar 2023

LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation
Koutilya Pnvr, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs
arXiv 2023. [Paper]
22 Mar 2023

DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen
arXiv 2023. [Paper] [Project]
21 Mar 2023

Object-Centric Slot Diffusion
Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
arXiv 2023. [Paper]
20 Mar 2023

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Lei Zhu
arXiv 2023. [Paper] [Github]
18 Mar 2023

DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery
Chaofan Ma, Yuhuan Yang, Chen Ju, Fei Zhang, Jinxiang Liu, Yu Wang, Ya Zhang, Yanfeng Wang
arXiv 2023. [Paper]
17 Mar 2023

Stochastic Segmentation with Conditional Categorical Diffusion Models
Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila
ICCV 2023. [Paper] [Github]
15 Mar 2023

DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception
Jiayu Zou, Zheng Zhu, Yun Ye, Xingang Wang
arXiv 2023. [Paper]
15 Mar 2023

Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation
Yunguan Fu, Yiwen Li, Shaheer U. Saeed, Matthew J. Clarkson, Yipeng Hu
arXiv 2023. [Paper] [Github]
10 Mar 2023

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran
arXiv 2023. [Paper]
9 Mar 2023

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello
arXiv 2023. [Paper] [Project]
8 Mar 2023

MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer
Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yanwu Xu
arXiv 2023. [Paper]
19 Jan 2023

DiffusionInst: Diffusion Model for Instance Segmentation
Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang
arXiv 2022. [Paper] [Github]
6 DEc 2022

Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion
Benedikt Kolbeinsson, Krystian Mikolajczyk
arXiv 2022. [Paper]
1 Dec 2022

Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors
Ryan Burgert, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo
arXiv 2022. [Paper]
23 Nov 2022

Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks
Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger
arXiv 2022. [Paper]
11 Nov 2022

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Junde Wu, Huihui Fang, Yu Zhang, Yehui Yang, Yanwu Xu
arXiv 2022. [Paper]
1 Nov 2022

Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation
Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma
arXiv 2022. [Paper]
27 Oct 2022

Anatomically constrained CT image translation for heterogeneous blood vessel segmentation
Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch
BMVC 2022. [Paper]
4 Oct 2022

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation
Boah Kim, Yujin Oh, Jong Chul Ye
arXiv 2022. [Paper]
29 Sep 2022

Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
arXiv 2022. [Paper]
31 Aug 2022

Semantic Image Synthesis via Diffusion Models
Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li
arXiv 2022. [Paper]
30 Jun 2022

Remote Sensing Change Detection (Segmentation) using Denoising Diffusion Probabilistic Models
Wele Gedara Chaminda Bandara, Nithin Gopalakrishnan Nair, Vishal M. Patel
arXiv 2022. [Paper] [Github]
23 Jun 2022

Diffusion models as plug-and-play priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
arXiv 2022. [Paper]
17 Jun 2022

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
Walter H. L. Pinaya, Mark S. Graham, Robert Gray, Pedro F Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Rolf Jager, David Werring, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardos
MICCAI 2022. [Paper]
7 Jun 2022

Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel Brempong Asiedu, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi
arXiv 2022. [Paper]
23 May 2022

Diffusion Models for Implicit Image Segmentation Ensembles
Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin
MIDL 2021. [Paper]
6 Dec 2021

Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko
ICLR 2021. [Paper] [Github]
6 Dec 2021

SegDiff: Image Segmentation with Diffusion Probabilistic Models
Tomer Amit, Eliya Nachmani, Tal Shaharbany, Lior Wolf
arXiv 2021. [Paper]
1 Dec 2021

Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
NeurIPS 2021. [Paper]
10 Feb 2021

Image Translation

Latent Painter
Shih-Chieh Su
arXiv 2023. [Paper]
31 Aug 2023

Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models
Zhanbo Feng, Zenan Ling, Ci Gong, Feng Zhou, Jie Li, Robert C. Qiu
arXiv 2023. [Paper]
30 Aug 2023

DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timotfe, Luc Van Gool
arXiv 2023. [Paper]
26 Aug 2023

SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation
Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang
arXiv 2023. [Paper]
20 Aug 2023

MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance
Ernie Chu, Tzuhsuan Huang, Shuo-Yen Lin, Jun-Cheng Chen
arXiv 2023. [Paper] [Project]
19 Aug 2023

StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Zhizhong Wang, Lei Zhao, Wei Xing
arXiv 2023. [Paper]
15 Aug 2023

Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training
Ximing Xing, Chuang Wang, Haitao Zhou, Zhihao Hu, Chongxuan Li, Dong Xu, Qian Yu
arXiv 2023. [Paper]
15 Aug 2023

Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
Junhong Gou, Siyu Sun, Jianfu Zhang, Jianlou Si, Chen Qian, Liqing Zhang
ACM MM 2023. [Paper]
11 Aug 2023

Head Rotation in Denoising Diffusion Models
Andrea Asperti, Gabriele Colasuonno, Antonio Guerra
arXiv 2023. [Paper]
11 Aug 2023

Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models
Ioannis Pikoulis, Panagiotis P. Filntisis, Petros Maragos
arXiv 2023. [Paper]
6 Aug 2023

SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
Shikun Sun, Longhui Wei, Junliang Xing, Jia Jia, Qi Tian
ICML 2023. [Paper]
4 Aug 2023

Interpolating between Images with Diffusion Models
Clinton J. Wang, Polina Golland
ICML Workshop 2023. [Paper] [Project] [Github]
24 Jul 2023

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong
ICCV 2023. [Paper] [Github]
24 Jul 2023

DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation
Yipeng Leng, Qiangjuan Huang, Zhiyuan Wang, Yangyang Liu, Haoyu Zhang
arXiv 2023. [Paper]
12 Jul 2023

DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer
Dan Ruta, Gemma Canet Tarrés, Andrew Gilbert, Eli Shechtman, Nicholas Kolkin, John Collomosse
arXiv 2023. [Paper]
9 Jul 2023

Applying a Color Palette with Local Control using Diffusion Models
Vaibhav Vavilala, David Forsyth
arXiv 2023. [Paper]
6 Jul 2023

DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, Jian Zhang
arXiv 2023. [Paper] [Project]
5 Jul 2023

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
arXiv 2023. [Paper]
26 Jun 2023

ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models
Dar-Yen Chen
arXiv 2023. [Paper] [Github]
15 Jun 2023

InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
ICML 2023. [Paper]
14 Jun 2023

TryOnDiffusion: A Tale of Two UNets
Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman
CVPR 2023. [Paper]
14 Jun 2023

Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
7 Jun 2023

DiffSketching: Sketch Control Image Synthesis with Diffusion Models
Qiang Wang, Di Kong, Fengyin Lin, Yonggang Qi
arXiv 2023. [Paper]
30 May 2023

Real-World Image Variation by Aligning Diffusion Inversion Chain
Yuechen Zhang, Jinbo Xing, Eric Lo, Jiaya Jia
arXiv 2023. [Paper]
30 May 2023

Photoswap: Personalized Subject Swapping in Images
Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang
arXiv 2023. [Paper] [Project]
29 May 2023

Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell
arXiv 2023. [Paper] [Github]
25 May 2023

Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye
arXiv 2023. [Paper] [Github]
24 May 2023

SAR-to-Optical Image Translation via Thermodynamics-inspired Network
Mingjin Zhang, Jiamin Xu, Chengyu He, Wenteng Shang, Yunsong Li, Xinbo Gao
arXiv 2023. [Paper]
23 May 2023

Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang
arXiv 2023. [Paper] [Project] [Github]
11 May 2023

ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
Yupei Lin, Sen Zhang, Xiaojun Yang, Xiao Wang, Yukai Shi
arXiv 2023. [Paper] [Project]
8 May 2023

Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
Zeyu Lu, Chengyue Wu, Xinyuan Chen, Yaohui Wang, Yu Qiao, Xihui Liu
arXiv 2023. [Paper]
24 Apr 2023

DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang
CVPR 2023. [Paper] [Project] [Github]
13 Apr 2023

Face Animation with an Attribute-Guided Diffusion Model
Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, Baochang Zhang
arXiv 2023. [Paper]
6 Apr 2023

Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo
arXiv 2023. [Paper]
31 Mar 2023

Training-free Style Transfer Emerges from h-space in Diffusion models
Jaeseok Jeong, Mingi Kwon, Youngjung Uh
arXiv 2023. [Paper] [Project] [Github]
27 Mar 2023

Diffusion-based Target Sampler for Unsupervised Domain Adaptation
Yulong Zhang, Shuhao Chen, Yu Zhang, Jiangang Lu
arXiv 2023. [Paper]
17 Mar 2023

StyO: Stylize Your Face in Only One-Shot
Bonan Li, Zicheng Zhang, Xuecheng Nie, Congying Han, Yinhan Hu, Tiande Guo
arXiv 2023. [Paper]
6 Mar 2023

DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models
Shidong Cao, Wenhao Chai, Shengyu Hao, Yanting Zhang, Hangyue Chen, Gaoang Wang
arXiv 2023. [Paper]
14 Feb 2023

I2SB: Image-to-Image Schrödinger Bridge
Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar
arXiv 2023. [Paper] [Project]
12 Feb 2023

Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion
Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu
arXiv 2023. [Paper]
31 Jan 2023

DiffFace: Diffusion-based Face Swapping with Facial Guidance
Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee
arXiv 2022. [Paper] [Project]
27 Dec 2022

HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping
Qinghe Wang, Lijie Liu, Miao Hua, Qian He, Pengfei Zhu, Bing Cao, Qinghua Hu
arXiv 2022. [Paper]
13 Dec 2022

Inversion-Based Creativity Transfer with Diffusion Models
Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu
CVPR 2023. [Paper] [Github]
23 Nov 2022

Person Image Synthesis via Denoising Diffusion Model
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
arXiv 2022. [Paper]
22 Nov 2022

Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
Chen Henry Wu, Fernando De la Torre
arXiv 2022. [Paper] [Github-1] [Github-2]
11 Oct 2022

Diffusion-based Image Translation using Disentangled Style and Content Representation
Gihyun Kwon, Jong Chul Ye
arXiv 2022. [Paper]
30 Sep 2022

MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim
arXiv 2022. [Paper] [Project]
22 Sep 2022

Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Ozan Özdenizci, Robert Legenstein
arXiv 2022. [Paper]
29 Jul 2022

Non-Uniform Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2022. [Paper]
20 Jul 2022

Unsupervised Medical Image Translation with Adversarial Diffusion Models
Muzaffer Özbey, Salman UH Dar, Hasan A Bedel, Onat Dalmaz, Şaban Özturk, Alper Güngör, Tolga Çukur
arXiv 2022. [Paper]
17 Jul 2022

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
arXiv 2022. [Paper]
14 Jul 2022

Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
arXiv 2022. [Paper] [Github]
15 Jun 2022

Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen
arXiv 2022. [Paper] [Project] [Github]
25 May 2022

VQBB: Image-to-image Translation with Vector Quantized Brownian Bridge
Bo Li, Kaitao Xue, Bin Liu, Yu-Kun Lai
arXiv 2022. [Paper]
16 May 2022

The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin
arXiv 2022. [Paper]
6 Apr 2022

Dual Diffusion Implicit Bridges for Image-to-Image Translation
Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon
arXiv 2022. [Paper]
16 Mar 2022

Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
NeurIPS 2022. [Paper]
27 Jan 2022

DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models
Boah Kim, Inhwa Han, Jong Chul Ye
arXiv 2021. [Paper]
9 Dec 2021

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn
arXiv 2021. [Paper] [Project]
30 Dec 2021

Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2021. [Paper]
26 Nov 2021

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
ICCV 2021 (Oral). [Paper] [Github]
6 Aug 2021

UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
arXiv 2021. [Paper]
12 Apr 2021

Inverse Problems

Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior
Berthy T. Feng, Katherine L. Bouman
arXiv 2023. [Paper]
5 Sep 2023

Diffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI Reconstruction
Wanyu Bian, Albert Jang, Fang Liu
arXiv 2023. [Paper]
2 Sep 2023

Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction
Yu Guan, Chuanming Yu, Shiyu Lu, Zhuoxu Cui, Dong Liang, Qiegen Liu
arXiv 2023. [Paper] [Github]
2 Sep 2023

Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution
Charles Laroche, Andrés Almansa, Eva Coupete
arXiv 2023. [Paper] [Github]
1 Sep 2023

Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang
arXiv 2023. [Paper]
31 Aug 2023

Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction
Kai Xu, Shiyu Lu, Bin Huang, Weiwen Wu, Qiegen Liu
arXiv 2023. [Paper]
30 Aug 2023

Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Yihang Zhou, Haifeng Wang, Yanjie Zhu, Jianping Zhang, Qiegen Liu, Dong Liang
arXiv 2023. [Paper]
30 Aug 2023

DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Ben Fei, Bo Dai, Wanli Ouyang, Yu Qiao, Chao Dong
arXiv 2023. [Paper] [Github]
29 Aug 2023

Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
Tao Yang, Peiran Ren, Xuansong Xie, Lei Zhang
AAAI 2024. [Paper]
28 Aug 2023

Data-iterative Optimization Score Model for Stable Ultra-Sparse-View CT Reconstruction
Weiwen Wu, Yanyang Wang
arXiv 2023. [Paper]
28 Aug 2023

Residual Denoising Diffusion Models
Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu
arXiv 2023. [Paper] [Github]
25 Aug 2023

Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model
Xunpeng Yi, Han Xu, Hao Zhang, Linfeng Tang, Jiayi Ma
ICCV 2023. [Paper]
25 Aug 2023

Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model
Shaoyan Pan, Elham Abouei, Junbo Peng, Joshua Qian, Jacob F Wynne, Tonghe Wang, Chih-Wei Chang, Justin Roper, Jonathon A Nye, Hui Mao, Xiaofeng Yang
arXiv 2023. [Paper]
24 Aug 2023

InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model
Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan Marinescu
MICCAI 2023. [Paper] [Github]
23 Aug 2023

High-quality Image Dehazing with Diffusion Model
Hu Yu, Jie Huang, Kaiwen Zheng, Man Zhou, Feng Zhao
arXiv 2023. [Paper]
23 Aug 2023

Frequency Compensated Diffusion Model for Real-scene Dehazing
Jing Wang, Songtao Wu, Kuanhong Xu, Zhiqiang Yuan
arXiv 2023. [Paper]
21 Aug 2023

Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction
Zeyu Han, Yuhan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen
MICCAI 2023. [Paper] [Github]
20 Aug 2023

DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement
Shuzhou Yang, Xuanyu Zhang, Yinhuai Wang, Jiwen Yu, Yuhan Wang, Jian Zhang
arXiv 2023. [Paper]
18 Aug 2023

Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration
Liyan Wang, Qinyu Yang, Cong Wang, Wei Wang, Jinshan Pan, Zhixun Su
arXiv 2023. [Paper]
17 Aug 2023

Monte Carlo guided Diffusion for Bayesian linear inverse problems
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines
arXiv 2023. [Paper]
15 Aug 2023

Geometry of the Visual Cortex with Applications to Image Inpainting and Enhancement
Francesco Ballerin, Erlend Grong
arXiv 2023. [Paper] [Github]
15 Aug 2023

YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
arXiv 2023. [Paper]
15 Aug 2023

TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-Resolution
Baolin Liu, Zongyuan Yang, Pengfei Wang, Junjie Zhou, Ziqi Liu, Ziyi Song, Yan Liu, Yongping Xiong
AAAI 2024. [Paper]
13 Aug 2023

CLE Diffusion: Controllable Light Enhancement Diffusion Model
Yuyang Yin, Dejia Xu, Chuangchuang Tan, Ping Liu, Yao Zhao, Yunchao Wei
arXiv 2023. [Paper] [Project] [Github]
13 Aug 2023

Diffusion-Augmented Depth Prediction with Sparse Annotations
Jiaqi Li, Yiran Wang, Zihao Huang, Jinghong Zheng, Ke Xian, Zhiguo Cao, Jianming Zhang
arXiv 2023. [Paper]
4 Aug 2023

Painterly Image Harmonization using Diffusion Model
Lingxiao Lu, Jiangtong Li, Junyan Cao, Li Niu, Liqing Zhang
arXiv 2023. [Paper]
4 Aug 2023

Reference-Free Isotropic 3D EM Reconstruction using Diffusion Models
Kyungryun Lee, Won-Ki Jeong
arXiv 2023. [Paper]
3 Aug 2023

Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction
Muhammad U. Mirza, Onat Dalmaz, Hasan A. Bedel, Gokberk Elmas, Yilmaz Korkmaz, Alper Gungor, Salman UH Dar, Tolga Çukur
arXiv 2023. [Paper]
2 Aug 2023

Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models
Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus
MICCAI Workshop 2023. [Paper] [Github]
29 Jul 2023

LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement
Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Bjorn Stenger, Tae-Kyun Kim, Wei Liu, Hongdong Li
arXiv 2023. [Paper]
27 Jul 2023

Artifact Restoration in Histology Images with Diffusion Probabilistic Models
Zhenqi He, Junjun He, Jin Ye, Yiqing Shen
arXiv 2023. [Paper] [Github]
26 Jul 2023

ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
Zongsheng Yue, Jianyi Wang, Chen Change Loy
arXiv 2023. [Paper] [Github]
23 Jul 2023

Iterative Reconstruction Based on Latent Diffusion Model for Sparse Data Reconstruction
Linchao He, Hongyu Yan, Mengting Luo, Kunming Luo, Wang Wang, Wenchao Du, Hu Chen, Hongyu Yang, Yi Zhang
arXiv 2023. [Paper]
22 Jul 2023

PartDiff: Image Super-resolution with Partial Diffusion Models
Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang, Haoxin Zheng, Kyunghyun Sung
arXiv 2023. [Paper]
21 Jul 2023

Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap
Dejia Xu, Xingqian Xu, Wenyan Cong, Humphrey Shi, Zhangyang Wang
arXiv 2023. [Paper] [Project]
20 Jul 2023

AnyDoor: Zero-shot Object-level Image Customization
Xi Chen, Lianghua Huang, Yu Liu, Yujun Shen, Deli Zhao, Hengshuang Zhao
arXiv 2023. [Paper] [Project]
18 Jul 2023

Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond
Yang Zhao, Tingbo Hou, Yu-Chuan Su, Xuhui Jia. Yandong Li, Matthias Grundmann
ICCV 2023. [Paper]
18 Jul 2023

Flow Matching in Latent Space
Quan Dao, Hao Phung, Binh Nguyen, Anh Tran
arXiv 2023. [Paper] [Project]
17 Jul 2023

Identity-Preserving Aging of Face Images via Latent Diffusion Models
Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir Memon
IJCB 2023. [Paper]
17 Jul 2023

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen
arXiv 2023. [Paper]
16 Jul 2023

ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen
arXiv 2023. [Paper]
15 Jul 2023

DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization
Kyle Luther, H. Sebastian Seung
arXiv 2023. [Paper]
11 Jul 2023

Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
Tong Li, Hansen Feng, Lizhi Wang, Zhiwei Xiong, Hua Huang
arXiv 2023. [Paper]
8 Jul 2023

IPO-LDM: Depth-aided 360-degree Indoor RGB Panorama Outpainting via Latent Diffusion Model
Tianhao Wu, Chuanxia Zheng, Tat-Jen Cham
arXiv 2023. [Paper] [Github]
6 Jul 2023

Single Image LDR to HDR Conversion using Conditional Diffusion
Dwip Dalal, Gautam Vashishtha, Prajwal Singh, Shanmuganathan Raman
arXiv 2023. [Paper]
6 Jul 2023

ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution
Axi Niu, Pham Xuan Trung, Kang Zhang, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang
arXiv 2023. [Paper]
3 Jul 2023

LEDITS: Real Image Editing with DDPM Inversion and Semantic Guidance
Linoy Tsaban, Apolinário Passos
arXiv 2023. [Paper]
2 Jul 2023

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai
arXiv 2023. [Paper] [Github]
2 Jul 2023

Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling
Li Sanqian, Higashita Risa, Fu Huazhu, Li Heng, Niu Jingxuan, Liu Jiang
arXiv 2023. [Paper]
30 Jun 2023

Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
Yilmaz Korkmaz, Tolga Cukur, Vishal Patel
arXiv 2023. [Paper]
29 Jun 2023

SVNR: Spatially-variant Noise Removal with Denoising Diffusion
Naama Pearl, Yaron Brodsky, Dana Berman, Assaf Zomet, Alex Rav Acha, Daniel Cohen-Or, Dani Lischinski
arXiv 2023. [Paper]
28 Jun 2023

Easing Color Shifts in Score-Based Diffusion Models
Katherine Deck, Tobias Bischoff
arXiv 2023. [Paper]
27 Jun 2023

Diffusion Model Based Low-Light Image Enhancement for Space Satellite
Yiman Zhu, Lu Wang, Jingyi Yuan, Yu Guo
arXiv 2023. [Paper]
25 Jun 2023

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala
arXiv 2023. [Paper]
23 Jun 2023

Wind Noise Reduction with a Diffusion-based Stochastic Regeneration Model
Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
arXiv 2023. [Paper]
22 Jun 2023

DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images
Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li
arXiv 2023. [Paper]
21 Jun 2023

HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models
Chanyue Wu, Dong Wang, Hanyu Mao, Ying Li
arXiv 2023. [Paper]
21 Jun 2023

Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Joshua B. Tenenbaum, Frédo Durand, William T. Freeman, Vincent Sitzmann
arXiv 2023. [Paper]
20 Jun 2023

Deep Ultrasound Denoising Using Diffusion Probabilistic Models
Hojat Asgariandehkordi, Sobhan Goudarzi, Adrian Basarab, Hassan Rivaz
arXiv 2023. [Paper]
12 Jun 2023

Towards Visual Foundational Models of Physical Scenes
Chethan Parameshwara, Alessandro Achille, Matthew Trager, Xiaolong Li, Jiawei Mo, Matthew Trager, Ashwin Swaminathan, CJ Taylor, Dheera Venkatraman, Xiaohan Fei, Stefano Soatto
arXiv 2023. [Paper]
6 Jun 2023

INDigo: An INN-Guided Probabilistic Diffusion Algorithm for Inverse Problems
Di You, Andreas Floros, Pier Luigi Dragotti
arXiv 2023. [Paper]
5 Jun 2023

The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David J. Fleet
arXiv 2023. [Paper]
2 Jun 2023

Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han
arXiv 2023. [Paper]
1 Jun 2023

Low-Light Image Enhancement with Wavelet-based Diffusion Models
Hai Jiang, Ao Luo, Songchen Han, Haoqiang Fan, Shuaicheng Liu
arXiv 2023. [Paper]
1 Jun 2023

A Unified Conditional Framework for Diffusion-based Image Restoration
Yi Zhang, Xiaoyu Shi, Dasong Li, Xiaogang Wang, Jian Wang, Hongsheng Li
arXiv 2023. [Paper]
31 May 2023

Direct Diffusion Bridge using Data Consistency for Inverse Problems
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
arXiv 2023. [Paper]
31 May 2023

Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
Gongye Liu, Haoze Sun, Jiayi Li, Fei Yin, Yujiu Yang
arXiv 2023. [Paper]
26 May 2023

Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos
Matthew Chang, Aditya Prakash, Saurabh Gupta
arXiv 2023. [Paper] [Project]
25 May 2023

A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising
Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang
arXiv 2023. [Paper]
25 May 2023

Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
Yiyang Ma, Huan Yang, Wenhan Yang, Jianlong Fu, Jiaying Liu
arXiv 2023. [Paper]
24 May 2023

WaveDM: Wavelet-Based Diffusion Models for Image Restoration
Yi Huang, Jiancheng Huang, Jianzhuang Liu, Yu Dong, Jiaxi Lv, Shifeng Chen
arXiv 2023. [Paper]
23 May 2023

Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIs
Mengze Xu, Jie Ma, Yuanyuan Zhu
arXiv 2023. [Paper] [Github]
20 May 2023

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
arXiv 2023. [Paper]
18 May 2023

Pyramid Diffusion Models For Low-light Image Enhancement
Dewei Zhou, Zongxin Yang, Yi Yang
arXiv 2023. [Paper]
17 May 2023

A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction
Ruoqi Wang, Zhuoyang Chen, Qiong Luo, Feng Wang
arXiv 2023. [Paper] 16 May 2023

Denoising Diffusion Models for Plug-and-Play Image Restoration
Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool
arXiv 2023. [Paper] [Github]
15 May 2023

Exploiting Diffusion Prior for Real-World Image Super-Resolution
Jianyi Wang, Zongsheng Yue, Shangchen Zhou, Kelvin C.K. Chan, Chen Change Loy
arXiv 2023. [Paper] [Project] [Github]
11 May 2023

Atmospheric Turbulence Correction via Variational Deep Diffusion
Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos
arXiv 2023. [Paper]
8 May 2023

Controllable Light Diffusion for Portraits
David Futschik, Kelvin Ritland, James Vecore, Sean Fanello, Sergio Orts-Escolano, Brian Curless, Daniel Sýkora, Rohit Pandey
arXiv 2023. [Paper]
8 May 2023

DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration
Xinmin Qiu, Congying Han, ZiCheng Zhang, Bonan Li, Tiande Guo, Xuecheng Nie
arXiv 2023. [Paper]
8 May 2023

Real-World Denoising via Diffusion Model
Cheng Yang, Lijing Liang, Zhixun Su
arXiv 2023. [Paper]
8 May 2023

A Variational Perspective on Solving Inverse Problems with Diffusion Models
Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat
arXiv 2023. [Paper]
7 May 2023

Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model
Taofeng Xie, Chentao Cao, Zhuoxu Cui, Yu Guo, Caiying Wu, Xuemei Wang, Qingneng Li, Zhanli Hu, Tao Sun, Ziru Sang, Yihang Zhou, Yanjie Zhu, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang
arXiv 2023. [Paper]
6 May 2023

DocDiff: Document Enhancement via Residual Diffusion Models
Zongyuan Yang, Baolin Liu, Yongping Xiong, Lan Yi, Guibin Wu, Xiaojun Tang, Ziqi Liu, Junjie Zhou, Xing Zhang
arXiv 2023. [Paper] [Github]
6 May 2023

Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data
Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
arXiv 2023. [Paper]
2 May 2023

Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodles
Yuanzheng Ma, Wangting Zhou, Rui Ma, Sihua Yang, Yansong Tang, Xun Guan
arXiv 2023. [Paper]
2 May 2023

Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
arXiv 2023. [Paper]
23 Apr 2023

Improved Diffusion-based Image Colorization via Piggybacked Models
Hanyuan Liu, Jinbo Xing, Minshan Xie, Chengze Li, Tien-Tsin Wong
arXiv 2023. [Paper] [Project]
21 Apr 2023

DiFaReli: Diffusion Face Relighting
Puntawat Ponglertnapakorn, Nontawat Tritrong, Supasorn Suwajanakorn
arXiv 2023. [Paper] [Project]
19 Apr 2023

Inpaint Anything: Segment Anything Meets Image Inpainting
Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, Zhibo Chen
arXiv 2023. [Paper] [Github]
13 Apr 2023

Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
arXiv 2023. [Paper] [Github]
17 Apr 2023

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu
arXiv 2023. [Paper]
11 Apr 2023

Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior
Kaiwen Xu, Aravind R. Krishnan, Thomas Z. Li, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
arXiv 2023. [Paper]
7 Apr 2023

SketchFFusion: Sketch-guided image editing with diffusion model
Weihang Mao, Bo Han, Zihao Wang
arXiv 2023. [Paper]
6 Apr 2023

Inst-Inpaint: Instructing to Remove Objects with Diffusion Models
Ahmet Burak Yildirim, Vedat Baday, Erkut Erdem, Aykut Erdem, Aysegul Dundar
arXiv 2023. [Paper] [Project]
6 Apr 2023

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models
Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi Jaakkola, Shiyu Chang
arXiv 2023. [Paper] [Github]
6 Apr 2023

Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models
Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, Ruiqi Li, Steve Jiang, Jing Wang, You Zhang
arXiv 2023. [Paper]
5 Apr 2023

Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution
Brian Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
arXiv 2023. [Paper]
4 Apr 2023

CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan
arXiv 2023. [Paper]
4 Apr 2023

Generative Diffusion Prior for Unified Image Restoration and Enhancement
Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai
CVPR 2023. [Paper]
3 Apr 2023

Implicit Diffusion Models for Continuous Super-Resolution
Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang
CVPR 2023. [Paper]
29 Mar 2023

DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
arXiv 2023. [Paper]
25 Mar 2023

MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion
Yizhuo Lu, Changde Du, Dianpeng Wang, Huiguang He
arXiv 2023. [Paper]
24 Mar 2023

DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Ye Mao, Lan Jiang, Xi Chen, Chao Li
arXiv 2023. [Paper]
23 Mar 2023

Sub-volume-based Denoising Diffusion Probabilistic Model for Cone-beam CT Reconstruction from Incomplete Data
Wenjun Xia, Chuang Niu, Wenxiang Cong, Ge Wang
arXiv 2023. [Paper]
22 Mar 2023

A Perceptual Quality Assessment Exploration for AIGC Images
Zicheng Zhang, Chunyi Li, Wei Sun, Xiaohong Liu, Xiongkuo Min, Guangtao Zhai
arXiv 2023. [Paper]
22 Mar 2023

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
Mauricio Delbracio, Peyman Milanfar
arXiv 2023. [Paper]
20 Mar 2023

Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting
Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert
arXiv 2023. [Paper]
17 Mar 2023

Denoising Diffusion Post-Processing for Low-Light Image Enhancement
Savvas Panagiotou, Anna S. Bosman
arXiv 2023. [Paper]
16 Mar 2023

SUD2: Supervision by Denoising Diffusion Models for Image Reconstruction
Matthew A. Chan, Sean I. Young, Christopher A. Metzler
arXiv 2023. [Paper]
16 Mar 2023

DiffIR: Efficient Diffusion Model for Image Restoration
Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool
arXiv 2023. [Paper]
16 Mar 2023

ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution
Shuyao Shang, Zhengyang Shan, Guangxing Liu, Jinglin Zhang
arXiv 2023. [Paper]
15 Mar 2023

Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels
Jan Oscar Cross-Zamirski, Praveen Anand, Guy Williams, Elizabeth Mouchet, Yinhai Wang, Carola-Bibiane Schönlieb
arXiv 2023. [Paper] [Github]
15 Mar 2023

Diffusion Models for Contrast Harmonization of Magnetic Resonance Images
Alicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel, Robin Sandkühler, Cristina Granziera, Özgür Yaldizli, Philippe C. Cattin
arXiv 2023. [Paper]
14 Mar 2023

Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach
Tao Yang, Peiran Ren, Xuansong xie, Lei Zhang
arXiv 2023. [Paper]
13 Mar 2023

DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration
Zhixin Wang, Xiaoyun Zhang, Ziying Zhang, Huangjie Zheng, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
CVPR 2023. [Paper]
13 Mar 2023

DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration
Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao
arXiv 2023. [Paper]
12 Mar 2023

Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition
Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
arXiv 2023. [Paper]
10 Mar 2023

Generalized Diffusion MRI Denoising and Super-Resolution using Swin Transformers
Amir Sadikov, Jamie Wren-Jarvis, Xinlei Pan, Lanya T. Cai, Pratik Mukherjee
arXiv 2023. [Paper]
10 Mar 2023

DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation
Yiqun Duan, Zheng Zhu, Xianda Guo
arxiv 2023. [Paper] [Github]
9 Mar 2023

Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement
Puijin Cheng, Li Lin, Yijin Huang, Huaqing He, Wenhan Luo, Xiaoying Tang
arXiv 2023. [Paper] [Github]
8 Mar 2023

Unlimited-Size Diffusion Restoration
Yinhuai Wang, Jiwen Yu, Runyi Yu, Jian Zhang
arXiv 2023. [Paper]
1 Mar 2023

Unsupervised Out-of-Distribution Detection with Diffusion Inpainting
Zhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q. Weinberger
arXiv 2023. [Paper]
20 Feb 2023

Restoration based Generative Models
Jaemoo Choi, Yesom Park, Myungjoo Kang
arXiv 2023. [Paper]
20 Feb 2023

Explicit Diffusion of Gaussian Mixture Model Based Image Priors
Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle
arXiv 2023. [Paper]
16 Feb 2023

Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild
Hshmat Sahak, Daniel Watson, Chitwan Saharia, David Fleet
arXiv 2023. [Paper]
15 Feb 2023

CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution
Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang
arXiv 2023. [Paper]
14 Feb 2023

How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
Jacopo Teneggi, Matt Tivnan, J Webster Stayman, Jeremias Sulam
arXiv 2023. [Paper]
7 Feb 2023

DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
Tiange Xiang, Mahmut Yurt, Ali B Syed, Kawin Setsompop, Akshay Chaudhari
ICLR 2023. [Paper] [Github]
6 Feb 2023

Diffusion Model for Generative Image Denoising
Yutong Xie, Minne Yuan, Bin Dong, Quanzheng Li
arXiv 2023. [Paper]
5 Feb 2023

A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models
Litu Rout, Advait Parulekar, Constantine Caramanis, Sanjay Shakkottai
arXiv 2023. [Paper]
2 Feb 2023

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
arXiv 2023. [Paper]
30 Jan 2023

Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Suttisak Wizadwongsa, Supasorn Suwajanakorn
ICLR 2023. [Paper]
27 Jan 2023

Diffusion Denoising for Low-Dose-CT Model
Runyi Li
arXiv 2023. [Paper]
27 Jan 2023

Screen Space Indirect Lighting with Visibility Bitmask
Olivier Therrien, Yannick Levesque, Guillaume Gilet
Visual Computer 2023. [Paper]
26 Jan 2023

Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization
Shangrong Yang, Chunyu Lin, Kang Liao, Yao Zhao
arXiv 2023. [Paper]
26 Jan 2023

RainDiffusion:When Unsupervised Learning Meets Diffusion Models for Real-world Image Deraining
Mingqiang Wei, Yiyang Shen, Yongzhen Wang, Haoran Xie, Fu Lee Wang
arXiv 2023. [Paper]
23 Jan 2023

Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models
Mingqiang Wei, Yiyang Shen, Yongzhen Wang, Haoran Xie, Fu Lee Wang
arXiv 2023. [Paper]
23 Jan 2023

Removing Structured Noise with Diffusion Models
Tristan S.W. Stevens, Jean-Luc Robert, Faik C. Meral Jason Yu, Jun Seob Shin, Ruud J.G. van Sloun
arXiv 2023. [Paper]
20 Jan 2023

Image Restoration with Mean-Reverting Stochastic Differential Equations
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
arXiv 2023. [Paper] [Github]
20 Jan 2023

DiffusionCT: Latent Diffusion Model for CT Image Standardization
Md Selim, Jie Zhang, Michael A. Brooks, Ge Wang, Jin Chen
arXiv 2023. [Paper]
20 Jan 2023

Targeted Image Reconstruction by Sampling Pre-trained Diffusion Model
Jiageng Zheng
arXiv 2023. [Paper]
18 Jan 2023

Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction
Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye
arXiv 2023. [Paper]
8 Jan 2023

Exploring Vision Transformers as Diffusion Learners
He Cao, Jianan Wang, Tianhe Ren, Xianbiao Qi, Yihao Chen, Yuan Yao, Lei Zhang
arXiv 2022. [Paper]
28 Dec 2022

Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanisms
Rui Ma, Mengxi Guo, Yi Hou, Fan Yang, Yuan Li, Huizhu Jia, Xiaodong Xie
arXiv 2022. [Paper] [Github]
24 Dec 2022

Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors
Kangfu Mei, Nithin Gopalakrishnan Nair, Vishal M. Patel
arXiv 2022. [Paper] [Project]
14 Dec 2022

SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging
Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu
arXiv 2022. [Paper]
14 Dec 2022

Universal Generative Modeling in Dual-domain for Dynamic MR Imaging
Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu
arXiv 2022. [Paper]
15 Dec 2022

DifFace: Blind Face Restoration with Diffused Error Contraction
Zongsheng Yue, Chen Change Loy
arXiv 2022. [Paper] [Github]
13 Dec 2022

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, Bihan Wen
arXiv 2022. [Paper]
9 Dec 2022

One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging
Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu
arXiv 2022. [Paper]
7 Dec 2022

SDM: Spatial Diffusion Model for Large Hole Image Inpainting
Wenbo Li, Xin Yu, Kun Zhou, Yibing Song, Zhe Lin, Jiaya Jia
arXiv 2022. [Paper]
6 Dec 2022

ADIR: Adaptive Diffusion for Image Reconstruction
Shady Abu-Hussein, Tom Tirer, Raja Giryes
arXiv 2022. [Paper] [Project]
6 Dec 2022

Image Deblurring with Domain Generalizable Diffusion Models
Mengwei Ren, Mauricio Delbracio, Hossein Talebi, Guido Gerig, Peyman Milanfar
arXiv 2022. [Paper]
4 Dec 2022

Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Yinhuai Wang, Jiwen Yu, Jian Zhang
arXiv 2022. [Paper] [Github]
1 Dec 2022

FREDSR: Fourier Residual Efficient Diffusive GAN for Single Image Super Resolution
Kyoungwan Woo, Achyuta Rajaram
arXiv 2022. [Paper]
30 Nov 2022

CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis
Shichong Peng, Alireza Moazeni, Ke Li
arXiv 2022. [Paper]
25 Nov 2022

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim
arXiv 2022. [Paper]
22 Nov 2022

Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
Xiangming Meng, Yoshiyuki Kabashima
arXiv 2022. [Paper] [Github]
20 Nov 2022

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems
Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye
arXiv 2022. [Paper]
19 Nov 2022

Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc L. Klasky, Jong Chul Ye
arXiv 2022. [Paper]
19 Nov 2022

Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction
Wenjun Xia, Wenxiang Cong, Ge Wang
arXiv 2022. [Paper]
18 Nov 2022

A Structure-Guided Diffusion Model for Large-Hole Diverse Image Completion
Daichi Horita, Jiaolong Yang, Dong Chen, Yuki Koyama, Kiyoharu Aizawa
BMVC 2023. [Paper]
18 Nov 2022

Conffusion: Confidence Intervals for Diffusion Models
Eliahu Horwitz, Yedid Hoshen
arXiv 2022. [Paper]
17 Nov 2022

Superresolution Reconstruction of Single Image for Latent features
Xin Wang, Jing-Ke Yan, Jing-Ye Cai, Jian-Hua Deng, Qin Qin, Qin Wang, Heng Xiao, Yao Cheng, Peng-Fei Ye
arXiv 2022. [Paper]
16 Nov 2022

Learning to Kindle the Starlight
Yu Yuan, Jiaqi Wu, Lindong Wang, Zhongliang Jing, Henry Leung, Shuyuan Zhu, Han Pan
arXiv 2022. [Paper]
16 Nov 2022

ShadowDiffusion: Diffusion-based Shadow Removal using Classifier-driven Attention and Structure Preservation
Yeying Jin, Wenhan Yang, Wei Ye, Yuan Yuan, Robby T. Tan
arXiv 2022. [Paper]
15 Nov 2022

DriftRec: Adapting diffusion models to blind image restoration tasks
Simon Welker, Henry N. Chapman, Timo Gerkmann
arXiv 2022. [Paper]
12 Nov 2022

From Denoising Diffusions to Denoising Markov Models
Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
arXiv 2022. [Paper] [Github]
7 Nov 2022

Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng, Yoshiyuki Kabashima
arXiv 2022. [Paper] [Github]
2 Nov 2022

Intelligent Painter: Picture Composition With Resampling Diffusion Model
Wing-Fung Ku, Wan-Chi Siu, Xi Cheng, H. Anthony Chan
arXiv 2022. [Paper]
31 Oct 2022

Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report
Pouria Rouzrokh, Bardia Khosravi, Shahriar Faghani, Mana Moassefi, Sanaz Vahdati, Bradley J. Erickson
arXiv 2022. [Paper] [Github]
21 Oct 2022

DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models
Yueqin Yin, Lianghua Huang, Yu Liu, Kaiqi Huang
arXiv 2022. [Paper]
16 Oct 2022

Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup
Wenjun Xia, Qing Lyu, Ge Wang
arXiv 2022. [Paper]
29 Sep 2022

Diffusion Posterior Sampling for General Noisy Inverse Problems
Hyungjin Chung, Jeongsol Kim, Michael T. Mccann, Marc L. Klasky, Jong Chul Ye
arXiv 2022. [Paper] [Github]
29 Sep 2022

Face Super-Resolution Using Stochastic Differential Equations
Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro, João Neves, Hugo Proença, David Menotti
arXiv 2022. [Paper] [Github]
24 Sep 2022

JPEG Artifact Correction using Denoising Diffusion Restoration Models
Bahjat Kawar, Jiaming Song, Stefano Ermon, Michael Elad
arXiv 2022. [Paper]
23 Sep 2022

T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models
Nithin Gopalakrishnan Nair, Vishal M. Patel
arXiv 2022. [Paper]
19 Sep 2022

Delving Globally into Texture and Structure for Image Inpainting
Haipeng Liu, Yang Wang, Meng Wang, Yong Rui
ACM 2022. [Paper] [Github]
17 Sep 2022

PET image denoising based on denoising diffusion probabilistic models
Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan
arXiv 2022. [Paper]
13 Sep 2022

Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction
Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang
IEEE TMI 2022. [Paper]
2 Sep 2022

AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models
Nithin Gopalakrishnan Nair, Kangfu Mei, Vishal M Patel
arXiv 2022. [Paper]
24 Aug 2022

High-Frequency Space Diffusion Models for Accelerated MRI
Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu
arXiv 2022. [Paper]
10 Aug 2022

Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Ozan Özdenizci, Robert Legenstein
arXiv 2022. [Paper] [Github]
29 Jul 2022

Non-Uniform Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2022. [Paper]
20 Jul 2022

Adaptive Diffusion Priors for Accelerated MRI Reconstruction
Salman UH Dar, Şaban Öztürk, Yilmaz Korkmaz, Gokberk Elmas, Muzaffer Özbey, Alper Güngör, Tolga Çukur
arXiv 2022. [Paper]
12 Jul 2022

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion
Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen
arXiv 2022. [Paper]
7 Jul 2022

SAR Despeckling using a Denoising Diffusion Probabilistic Model
Malsha V. Perera, Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel
arXiv 2022. [Paper]
9 Jun 2022

Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
arXiv 2022. [Paper]
2 Jun 2022

The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin
arXiv 2022. [Paper]
6 Apr 2022

MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion
Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
arXiv 2022. [Paper]
23 Mar 2022

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa
arXiv 2022. [Paper] [Github]
8 Mar 2022

Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction
Yutong Xie, Quanzheng Li
MICCAI 2022. [Paper] [Github]
5 Mar 2022

MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation
Guanxiong Luo, Martin Heide, Martin Uecker
arXiv 2022. [Paper] [Github]
3 Feb 2022

Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Dewei Hu, Yuankai K. Tao, Ipek Oguz
arXiv 2022. [Paper] [Github]
27 Jan 2022

Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
ICLR 2022 Workshop (Oral). [Paper]
27 Jan 2022

RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, Luc Van Gool
CVPR 2022. [Paper] [Github]
24 Jan 2022

High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
CVPR 2022. [Paper] [Github]
20 Dec 2021

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction
Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
CVPR 2022. [Paper]
9 Dec 2021

Deblurring via Stochastic Refinement
Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar
CVPR 2022. [Paper]
5 Dec 2021

Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2021. [Paper]
26 Nov 2021

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song, Liyue Shen, Lei Xing, Stefano Ermon
NeurIPS Workshop 2021. [Paper] [Github]
15 Nov 2021

S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process
Chulin Wang, Kyongmin Yeo, Xiao Jin, Andres Codas, Levente J. Klein, Bruce Elmegreen
NeurIPS 2022. [Paper]
8 Nov 2021

Score-based diffusion models for accelerated MRI
Hyungjin Chung, Jong chul Ye
MIA 2021. [Paper] [Github]
8 Oct 2021

Autoregressive Diffusion Models
Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans
ICLR 2022. [Paper]
5 Oct 2021

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
ICCV 2021 (Oral). [Paper] [Github]
6 Aug 2021

Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
arXiv 2021. [Paper] [Project]
30 May 2021

SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models
Haoying Li, Yifan Yang, Meng Chang, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen
ACM 2022. [Paper]
30 Apr 2021

Image Super-Resolution via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
arXiv 2021. [Paper] [Project] [Github]
15 Apr 2021

Medical Imaging

Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior
Berthy T. Feng, Katherine L. Bouman
arXiv 2023. [Paper]
5 Sep 2023

Segmentation of 3D pore space from CT images using curvilinear skeleton: application to numerical simulation of microbial decomposition
Olivier Monga, Zakaria Belghali, Mouad Klai, Lucie Druoton, Dominique Michelucci, Valerie Pot
arXiv 2023. [Paper]
4 Sep 2023

Diffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI Reconstruction
Wanyu Bian, Albert Jang, Fang Liu
arXiv 2023. [Paper]
2 Sep 2023

PathLDM: Text conditioned Latent Diffusion Model for Histopathology
Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin Kurc, Joel Saltz, Dimitris Samaras
arXiv 2023. [Paper]
1 Sep 2023

Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang
arXiv 2023. [Paper]
31 Aug 2023

Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction
Kai Xu, Shiyu Lu, Bin Huang, Weiwen Wu, Qiegen Liu
arXiv 2023. [Paper]
30 Aug 2023

Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI
Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas
arXiv 2023. [Paper]
30 Aug 2023

Data-iterative Optimization Score Model for Stable Ultra-Sparse-View CT Reconstruction
Weiwen Wu, Yanyang Wang
arXiv 2023. [Paper]
28 Aug 2023

Augmenting medical image classifiers with synthetic data from latent diffusion models
Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai
arXiv 2023. [Paper]
23 Aug 2023

Texture Generation on 3D Meshes with Point-UV Diffusion
Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi
ICCV 2023. [Paper]
21 Aug 2023

Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations
Robert Graf, Joachim Schmitt, Sarah Schlaeger, Hendrik Kristian Möller, Vasiliki Sideri-Lampretsa, Anjany Sekuboyina, Sandro Manuel Krieg, Benedikt Wiestler, Bjoern Menze, Daniel Rueckert, Jan Stefan Kirschke
arXiv 2023. [Paper]
18 Aug 2023

Denoising Diffusion Probabilistic Model for Retinal Image Generation and Segmentation
Alnur Alimanov, Md Baharul Islam
ICCP 2023. [Paper]
16 Aug 2023

Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature
Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
arXiv 2023. [Paper]
13 Aug 2023

Masked Diffusion as Self-supervised Representation Learner
Zixuan Pan, Jianxu Chen, Yiyu Shi
arXiv 2023. [Paper]
10 Aug 2023

Synthetic Augmentation with Large-scale Unconditional Pre-training
Jiarong Ye, Haomiao Ni, Peng Jin, Sharon X. Huang, Yuan Xue
MICCAI 2023. [Paper] [Github]
8 Aug 2023

Energy-Guided Diffusion Model for CBCT-to-CT Synthesis
Linjie Fu, Xia Li, Xiuding Cai, Dong Miao, Yu Yao, Yali Shen
arXiv 2023. [Paper]
7 Aug 2023

Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models
Yannik Frisch, Moritz Fuchs, Antoine Sanner, Felix Anton Ucar, Marius Frenzel, Joana Wasielica-Poslednik, Adrian Gericke, Felix Mathias Wagner, Thomas Dratsch, Anirban Mukhopadhyay
arXiv 2023. [Paper]
3 Aug 2023

Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images
Alessandro Fontanella, Grant Mair, Joanna Wardlaw, Emanuele Trucco, Amos Storkey
arXiv 2023. [Paper]
3 Aug 2023

Reference-Free Isotropic 3D EM Reconstruction using Diffusion Models
Kyungryun Lee, Won-Ki Jeong
arXiv 2023. [Paper]
3 Aug 2023

A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models
Bilel Guetarni, Feryal Windal, Halim Benhabiles, Marianne Petit, Romain Dubois, Emmanuelle Leteurtre, Dominique Collard
arXiv 2023. [Paper]
2 Aug 2023

C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation
Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
arXiv 2023. [Paper]
31 Jul 2023

Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models
Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus
MICCAI Workshop 2023. [Paper] [Github]
29 Jul 2023

FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images
Yi Qin, Xiaomeng Li
MICCAI 2023. [Paper] [Github]
22 Jul 2023

FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification
Héctor Carrión, Narges Norouzi
MICCAI 2023. [Paper] [Github]
21 Jul 2023

PartDiff: Image Super-resolution with Partial Diffusion Models
Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang, Haoxin Zheng, Kyunghyun Sung
arXiv 2023. [Paper]
21 Jul 2023

Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis
Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu
MICCAI 2023. [Paper]
19 Jul 2023

DiffDP: Radiotherapy Dose Prediction via a Diffusion Model
Zhenghao Feng, Lu Wen, Peng Wang, Binyu Yan, Xi Wu, Jiliu Zhou, Yan Wang
arXiv 2023. [Paper]
19 Jul 2023

DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI
Hasan Atakan Bedel, Tolga Çukur
arXiv 2023. [Paper]
18 Jul 2023

TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation
Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
arXiv 2023. [Paper] [Project] [Github]
18 Jul 2023

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen
arXiv 2023. [Paper]
16 Jul 2023

Fast Adaptation with Bradley-Terry Preference Models in Text-To-Image Classification and Generation
Victor Gallego
EYSM 2023. [Paper]
15 Jul 2023

Improving Nonalcoholic Fatty Liver Disease Classification Performance With Latent Diffusion Models
Romain Hardy, Cornelia Ilin, Joe Klepich, Ryan Mitchell, Steve Hall, Jericho Villareal
arXiv 2023. [Paper]
13 Jul 2023

DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization
Kyle Luther, H. Sebastian Seung
arXiv 2023. [Paper]
11 Jul 2023

LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
Long Bai, Tong Chen, Yanan Wu, An Wang, Mobarakol Islam, Hongliang Ren
arXiv 2023. [Paper] [Github]
5 Jul 2023

Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT
Jianhai Zhang, Tonghua Wan, Ethan MacDonald, Bijoy Menon, Aravind Ganesh, Qiu Wu
arXiv 2023. [Paper]
4 Jul 2023

Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis
Salman Ul Hassan Dar, Arman Ghanaat, Jannik Kahmann, Isabelle Ayx, Theano Papavassiliu, Stefan O. Schoenberg, Sandy Engelhardt
arXiv 2023. [Paper]
3 Jul 2023

Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling
Li Sanqian, Higashita Risa, Fu Huazhu, Li Heng, Niu Jingxuan, Liu Jiang
arXiv 2023. [Paper]
30 Jun 2023

Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
Yilmaz Korkmaz, Tolga Cukur, Vishal Patel
arXiv 2023. [Paper]
29 Jun 2023

DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy
Yiwen Zhang, Chuanpu Li, Liming Zhong, Zeli Chen, Wei Yang, Xuetao Wang
arXiv 2023. [Paper]
28 Jun 2023

DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets
Hyun-Jic Oh, Won-Ki Jeong
arXiv 2023. [Paper]
25 Jun 2023

TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models
Se-In Jang, Cristina Lois, Emma Thibault, J. Alex Becker, Yafei Dong, Marc D. Normandin, Julie C. Price, Keith A. Johnson, Georges El Fakhri, Kuang Gong
arXiv 2023. [Paper]
21 Jun 2023

SANO: Score-Based Diffusion Model for Anomaly Localization in Dermatology
Alvaro Gonzalez-Jimenez, Simone Lionetti, Marc Pouly, Alexander A. Navarini
CVPR Workshop 2023. [Paper]
18 Jun 2023

Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback
Shenghuan Sun, Gregory M. Goldgof, Atul Butte, Ahmed M. Alaa
arXiv 2023. [Paper]
16 Jun 2023

Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models
Tomer Amit, Shmuel Shichrur, Tal Shaharabany, Lior Wolf
arXiv 2023. [Paper]
15 Jun 2023

Deep Ultrasound Denoising Using Diffusion Probabilistic Models
Hojat Asgariandehkordi, Sobhan Goudarzi, Adrian Basarab, Hassan Rivaz
arXiv 2023. [Paper]
12 Jun 2023

Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation
Xinrong Hu, Yu-Jen Chen, Tsung-Yi Ho, Yiyu Shi
arXiv 2023. [Paper]
6 Jun 2023

Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder
Ayodeji Ijishakin, Ahmed Abdulaal, Adamos Hadjivasiliou, Sophie Martin, James Cole
arXiv 2023. [Paper]
5 Jun 2023

Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models
Sriram Ravula, Brett Levac, Ajil Jalal, Jonathan I. Tamir, Alexandros G. Dimakis
arXiv 2023. [Paper]
5 Jun 2023

Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models
Muhammad Usman Akbar, Måns Larsson, Anders Eklund
arXiv 2023. [Paper]
5 Jun 2023

Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model
Hasan Iqbal, Umar Khalid, Jing Hua, Chen Chen
arXiv 2023. [Paper]
31 May 2023

Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
Cosmin I. Bercea, Michael Neumayr, Daniel Rueckert, Julia A. Schnabel
arXiv 2023. [Paper]
31 May 2023

Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model
Shaoyan Pan, Elham Abouei, Jacob Wynne, Tonghe Wang, Richard L. J. Qiu, Yuheng Li, Chih-Wei Chang, Junbo Peng, Justin Roper, Pretesh Patel, David S. Yu, Hui Mao, Xiaofeng Yang
arXiv 2023. [Paper]
31 May 2023

Conditional Diffusion Models for Semantic 3D Medical Image Synthesis
Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed, Furen Xiao
arXiv 2023. [Paper]
29 May 2023

GenerateCT: Text-Guided 3D Chest CT Generation
Ibrahim Ethem Hamamci, Sezgin Er, Enis Simsar, Alperen Tezcan, Ayse Gulnihan Simsek, Furkan Almas, Sevval Nil Esirgun, Hadrien Reynaud, Sarthak Pati, Christian Bluethgen, Bjoern Menze
arXiv 2023. [Paper] [Github]
25 May 2023

A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising
Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang
arXiv 2023. [Paper]
25 May 2023

Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain tumor images
Muhammad Usman Akbar, Wuhao Wang, Anders Eklund
arXiv 2023. [Paper]
12 May 2023

Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models
Sojung Go, Younghoon Ji, Sang Jun Park, Soochahn Lee
arXiv 2023. [Paper]
11 May 2023

Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data
Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
arXiv 2023. [Paper]
2 May 2023

High-Fidelity Image Synthesis from Pulmonary Nodule Lesion Maps using Semantic Diffusion Model
Xuan Zhao, Benjamin Hou
MIDL 2023. [Paper]
2 May 2023

Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features
Nurislam Tursynbek, Marc Niethammer
arXiv 2023. [Paper]
28 Apr 2023

Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis
Shaoyan Pan, Chih-Wei Chang, Junbo Peng, Jiahan Zhang, Richard L.J. Qiu, Tonghe Wang, Justin Roper, Tian Liu, Hui Mao, Xiaofeng Yang
arXiv 2023. [Paper]
28 Apr 2023

Realistic Data Enrichment for Robust Image Segmentation in Histopathology
Sarah Cechnicka, James Ball, Callum Arthurs, Candice Roufosse, Bernhard Kainz
arXiv 2023. [Paper]
19 Apr 2023

Denoising Diffusion Medical Models
Pham Ngoc Huy, Tran Minh Quan
IEEE ISBI 2023. [Paper]
19 Apr 2023

A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data
Chi-en Amy Tai, Hayden Gunraj, Alexander Wong
arXiv 2023. [Paper]
12 Apr 2023

Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging
Chi-en Amy Tai, Hayden Gunraj, Alexander Wong
arXiv 2023. [Paper]
12 Apr 2023

Mask-conditioned latent diffusion for generating gastrointestinal polyp images
Roman Macháček, Leila Mozaffari, Zahra Sepasdar, Sravanthi Parasa, Pål Halvorsen, Michael A. Riegler, Vajira Thambawita
arXiv 2023. [Paper]
11 Apr 2023

BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation
Tao Chen, Chenhui Wang, Hongming Shan
arXiv 2023. [Paper]
10 Apr 2023

Ambiguous Medical Image Segmentation using Diffusion Models
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M Patel
CVPR 2023. [Paper] [Github]
10 Apr 2023

MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
Kun Han, Yifeng Xiong, Chenyu You, Pooya Khosravi, Shanlin Sun, Xiangyi Yan, James Duncan, Xiaohui Xie
arxiv 2023. [Paper] [Project]
8 Apr 2023

Towards Realistic Ultrasound Fetal Brain Imaging Synthesis
Michelle Iskandar, Harvey Mannering, Zhanxiang Sun, Jacqueline Matthew, Hamideh Kerdegari, Laura Peralta, Miguel Xochicale
arXiv 2023. [Paper] [Gitub]
8 Apr 2023

ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis
Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
MICCAI 2023. [Paper]
3 Apr 2023

Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models
Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
arXiv 2023. [Paper]
31 Mar 2023

DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding
Xiaoyue Li, Kai Shang, Gaoang Wang, Mark D. Butala
arXiv 2023. [Paper]
28 Mar 2023

Diffusion Models for Memory-efficient Processing of 3D Medical Images
Florentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkühler, Philippe C. Cattin
MIDL 2023. [Paper]
27 Mar 2023

Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
Xiaofei Wang, Stephen Price, Chao Li
arXiv 2023. [Paper]
26 Mar 2023

CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis
Lan Jiang, Ye Mao, Xi Chen, Xiangfeng Wang, Chao Li
arXiv 2023. [Paper]
24 Mar 2023

DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Ye Mao, Lan Jiang, Xi Chen, Chao Li
arXiv 2023. [Paper]
23 Mar 2023

Medical diffusion on a budget: textual inversion for medical image generation
Bram de Wilde, Anindo Saha, Richard P.G. ten Broek, Henkjan Huisman
arXiv 2023. [Paper]
23 Mar 2023

Sub-volume-based Denoising Diffusion Probabilistic Model for Cone-beam CT Reconstruction from Incomplete Data
Wenjun Xia, Chuang Niu, Wenxiang Cong, Ge Wang
arXiv 2023. [Paper]
22 Mar 2023

Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis
Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, Thomas Day, Reza Razavi, Alberto Gomez, Paul Leeson, Bernhard Kainz
arXiv 2023. [Paper]
22 Mar 2023

Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive Segmentation
Haipeng Zhou, Lei Zhu, Yuyin Zhou
arXiv 2023. [Paper]
22 Mar 2023

NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models
Aman Shrivastava, P. Thomas Fletcher
arXiv 2023. [Paper]
20 Mar 2023

Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
arXiv 2023. [Paper]
20 Mar 2023

DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Yijun Yang, Huazhu Fu, Angelica Aviles-Rivero, Carola-Bibiane Schönlieb, Lei Zhu
arXiv 2023. [Paper]
19 Mar 2023

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Lei Zhu
arXiv 2023. [Paper] [Github]
18 Mar 2023

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
Cosmin I Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A Schnabel
arXiv 2023. [Paper]
15 Mar 2023

Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
arXiv 2023. [Paper]
15 Mar 2023

Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection
Nikhil J. Dhinagar, Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson
arXiv 2023. [Paper]
14 Mar 2023

Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays
Ibrahim Ethem Hamamci, Sezgin Er, Enis Simsar, Anjany Sekuboyina, Mustafa Gundogar, Bernd Stadlinger, Albert Mehl, Bjoern Menze
arXiv 2023. [Paper]
11 Mar 2023

AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image
Zhuchen Shao, Liuxi Dai, Yifeng Wang, Haoqian Wang, Yongbing Zhang
arXiv 2023. [Paper]
11 Mar 2023

Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline
Xuhang Chen, Baiying Lei, Chi-Man Pun, Shuqiang Wang
arXiv 2023. [Paper]
11 Mar 2023

Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition
Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
arXiv 2023. [Paper]
10 Mar 2023

Generalized Diffusion MRI Denoising and Super-Resolution using Swin Transformers
Amir Sadikov, Jamie Wren-Jarvis, Xinlei Pan, Lanya T. Cai, Pratik Mukherjee
arXiv 2023. [Paper]
10 Mar 2023

Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
MIDL 2023. [Paper]
7 Mar 2023

Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion
Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu
arXiv 2023. [Paper]
3 Mar 2023

Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection
Jian Shi, Pengyi Zhang, Ni Zhang, Hakim Ghazzai, Yehia Massoud
arXiv 2023. [Paper]
28 Feb 2023

DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
Tiange Xiang, Mahmut Yurt, Ali B Syed, Kawin Setsompop, Akshay Chaudhari
ICLR 2023. [Paper] [Github]
6 Feb 2023

Diffusion Denoising for Low-Dose-CT Model
Runyi Li
arXiv 2023. [Paper]
27 Jan 2023

DiffusionCT: Latent Diffusion Model for CT Image Standardization
Md Selim, Jie Zhang, Michael A. Brooks, Ge Wang, Jin Chen
arXiv 2023. [Paper]
20 Jan 2023

MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer
Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yanwu Xu
arXiv 2023. [Paper]
19 Jan 2023

The role of noise in denoising models for anomaly detection in medical images
Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia S. Mikhael, Jeremy P. Voisey, Keith Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil
arXiv 2023. [Paper] [Github]
19 Jan 2023

Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images
Mohamed Akrout, Bálint Gyepesi, Péter Holló, Adrienn Poór, Blága Kincső, Stephen Solis, Katrina Cirone, Jeremy Kawahara, Dekker Slade, Latif Abid, Máté Kovács, István Fazekas
arXiv 2023. [Paper]
12 Jan 2023

Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction
Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye
arXiv 2023. [Paper]
8 Jan 2023

Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets
Dennis Eschweiler, Johannes Stegmaier
arXiv 2023. [Paper]
2 Jan 2023

Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill Abrigo, Qi Dou
arXiv 2023. [Paper]
1 Jan 2023

SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation
Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
arXiv 2022. [Paper]
16 Dec 2022

Universal Generative Modeling in Dual-domain for Dynamic MR Imaging
Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu
arXiv 2022. [Paper]
15 Dec 2022

Generating Realistic 3D Brain MRIs Using a Conditional Diffusion Probabilistic Model
Wei Peng, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl
arXiv 2022. [Paper] [Github]
15 Dec 2022

Diffusion Probabilistic Models beat GANs on Medical Images
Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, Tianyu Han, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
arXiv 2022. [Paper]
14 Dec 2022

One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging
Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu
arXiv 2022. [Paper]
7 Dec 2022

Neural Cell Video Synthesis via Optical-Flow Diffusion
Manuel Serna-Aguilera, Khoa Luu, Nathaniel Harris, Min Zou
arXiv 2022. [Paper]
6 Dec 2022

Improving dermatology classifiers across populations using images generated by large diffusion models
Luke W. Sagers, James A. Diao, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai
NeurIPS Workshop 2022. [Paper]
23 Nov 2022

RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
Pierre Chambon, Christian Bluethgen, Jean-Benoit Delbrouck, Rogier Van der Sluijs, Małgorzata Połacin, Juan Manuel Zambrano Chaves, Tanishq Mathew Abraham, Shivanshu Purohit, Curtis P. Langlotz, Akshay Chaudhari
arXiv 2022. [Paper]
23 Nov 2022

Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc L. Klasky, Jong Chul Ye
arXiv 2022. [Paper]
19 Nov 2022

Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction
Wenjun Xia, Wenxiang Cong, Ge Wang
arXiv 2022. [Paper]
18 Nov 2022

Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields
Xie Taofeng, Cao Chentao, Cui Zhuoxu, Li Fanshi, Wei Zidong, Zhu Yanjie, Li Ye, Liang Dong, Jin Qiyu, Chen Guoqing, Wang Haifeng
arXiv 2022. [Paper]
16 Nov 2022

An unobtrusive quality supervision approach for medical image annotation
Sonja Kunzmann, Mathias Öttl, Prathmesh Madhu, Felix Denzinger, Andreas Maier
arXiv 2022. [Paper]
11 Nov 2022

Medical Diffusion -- Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze-Hagen, Philipp Schad, Sandy Engelhardt, Bettina Baessler, Sebastian Foersch, Johannes Stegmaier, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
arXiv 2022. [Paper]
7 Nov 2022

Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier
arXiv 2022. [Paper]
2 Nov 2022

Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models
Hazrat Ali, Shafaq Murad, Zubair Shah
arXiv 2022. [Paper] [Project]
2 Nov 2022

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Junde Wu, Huihui Fang, Yu Zhang, Yehui Yang, Yanwu Xu
arXiv 2022. [Paper]
1 Nov 2022

Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains
Pierre Chambon, Christian Bluethgen, Curtis P. Langlotz, Akshay Chaudhari
arXiv 2022. [Paper]
9 Oct 2022

Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup
Wenjun Xia, Qing Lyu, Ge Wang
arXiv 2022. [Paper]
29 Sep 2022

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation
Boah Kim, Yujin Oh, Jong Chul Ye
arXiv 2022. [Paper]
29 Sep 2022

Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models
Qing Lyu, Ge Wang
arXiv 2022. [Paper]
24 Sep 2022

Brain Imaging Generation with Latent Diffusion Models
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F da Costa, Virginia Fernandez, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
arXiv 2022. [Paper]
15 Sep 2022

PET image denoising based on denoising diffusion probabilistic models
Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan
arXiv 2022. [Paper]
13 Sep 2022

High-Frequency Space Diffusion Models for Accelerated MRI
Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu
arXiv 2022. [Paper]
10 Aug 2022

What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
MICCAI 2022. [Paper] [Github]
25 Jul 2022

Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease
Junren Pan, Shuqiang Wang
arXiv 2022. [Paper]
20 Jun 2022

Diffusion Deformable Model for 4D Temporal Medical Image Generation
Boah Kim, Jong Chul Ye
MICCAI 2022. [Paper] [Github]
27 Jun 2022

Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
arXiv 2022. [Paper]
2 Jun 2022

AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
Julian Wyatt, Adam Leach, Sebastian M. Schmon, Chris G. Willcocks
CVPR Workshop 2022. [Paper] [Github]
1 Jun 2022

The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin
arXiv 2022. [Paper]
6 Apr 2022

MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion
Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
arXiv 2022. [Paper]
23 Mar 2022

Diffusion Models for Medical Anomaly Detection
Julia Wolleb, Florentin Bieder, Robin Sandkühler, Philippe C. Cattin
MICCAI 2022. [Paper] [Github]
8 Mar 2022

Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction
Yutong Xie, Quanzheng Li
MICCAI 2022. [Paper] [Github]
5 Mar 2022

MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation
Guanxiong Luo, Martin Heide, Martin Uecker
arXiv 2022. [Paper] [Github]
3 Feb 2022

Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Dewei Hu, Yuankai K. Tao, Ipek Oguz
arXiv 2022. [Paper] [Github]
27 Jan 2022

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song, Liyue Shen, Lei Xing, Stefano Ermon
NeurIPS Workshop 2021. [Paper] [Github]
15 Nov 2021

Score-based diffusion models for accelerated MRI
Hyungjin Chung, Jong chul Ye
MIA 2021. [Paper] [Github]
8 Oct 2021

【论文合集】Awesome Diffusion Models 2

Vision

Generation

Classification

Segmentation

Image Translation

Inverse Problems

Medical Imaging

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