CVPR 2023 | 最全 AIGC 论文清单汇总版，30个方向130篇！

本文为清单版本，详细内容梳理版见：

6万字！30个方向130篇！CVPR 2023 最全 AIGC 论文！一口气读完

关注公众号【机器学习与AI生成创作】公众号，在后台回复 AIGC （长按红字、选中复制）即可获取分类、按文件夹汇总好的论文集，gan起来吧！！！

目录

• 1、图像转换/翻译

• 2、GAN改进/可控

• 3、可控文生图/定制化文生图

• 4、图像恢复

• 5、布局可控生成

• 6、医学图像

• 7、人脸相关

• 8、3D相关

• 9、deepfake检测

• 10、图像超分

• 11、风格迁移

• 12、去雨去噪去模糊

• 13、图像分割

• 14、视频相关

• 15、对抗攻击

• 16、扩散模型改进

• 17、数据增广

• 18、说话人生成

• 19、视图合成

• 20、目标检测

• 21、人像生成/姿态迁移

• 22、发型迁移

• 23、图像修复

• 24、表征学习/表示学习

• 25、语音相关

• 26、域适应/迁移学习

• 27、知识蒸馏

• 28、字体生成

• 29、异常检测

• 30、数据集

一、图像转换/翻译

• 1、Masked and Adaptive Transformer for Exemplar Based Image Translation

• 2、LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data

• 3、Interactive Cartoonization with Controllable Perceptual Factors

• 4、LightPainter: Interactive Portrait Relighting with Freehand Scribble

• 5、Picture that Sketch: Photorealistic Image Generation from Abstract Sketches

• 6、Few-shot Semantic Image Synthesis with Class Affinity Transfer

二、GAN改进

• 7、CoralStyleCLIP: Co-optimized Region and Layer Selection for Image Editing

• 8、Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models

• 9、Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis

• 10、Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN

• 11、Improving GAN Training via Feature Space Shrinkage

• 12、Look ATME: The Discriminator Mean Entropy Needs Attention

• 13、NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs

• 14、DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation

• 15、Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint

• 16、SIEDOB: Semantic Image Editing by Disentangling Object and Background

三、可控文生图/定制化文生图

• 17、DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

• 18、Ablating Concepts in Text-to-Image Diffusion Models

• 19、Multi-Concept Customization of Text-to-Image Diffusion

• 20、Imagic: Text-Based Real Image Editing with Diffusion Models

• 21、Shifted Diffusion for Text-to-image Generation

• 22、SpaText: Spatio-Textual Representation for Controllable Image Generation

• 23、Scaling up GANs for Text-to-Image Synthesis

• 24、GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis

• 25、Variational Distribution Learning for Unsupervised Text-to-Image Generation

四、图像恢复

• 26、Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration

• 27、Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank

• 28、Efficient and Explicit Modelling of Image Hierarchies for Image Restoration

• 29、Generating Aligned Pseudo-Supervision from Non-Aligned Data forImage Restoration in Under-Display Camera

• 30、 Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement

• 31、Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Model

• 32、Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation

• 33、Robust Unsupervised StyleGAN Image Restoration

五、布局可控生成

• 34、LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation

• 35、LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

• 36、PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout

• 37、Unifying Layout Generation with a Decoupled Diffusion Model

• 38、Unsupervised Domain Adaption with Pixel-level Discriminator for Image-aware Layout Generation

六、医学图像

• 39、High-resolution image reconstruction with latent diffusion models from human brain activity

• 40、 Leveraging GANs for data scarcity of COVID-19: Beyond the hype

• 41、Why is the winner the best?

• 45、Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

七、人脸相关

• 46、A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images

• 47、DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration

• 48、DiffusionRig: Learning Personalized Priors for Facial Appearance Editing

• 49、Fine-Grained Face Swapping via Regional GAN Inversion

• 50、SunStage: Portrait Reconstruction and Relighting using the Sun as a Light Stage

八、3D相关

• 51、3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process

• 52、Controllable Mesh Generation Through Sparse Latent Point Diffusion Models

• 53、GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds

• 54、GINA-3D: Learning to Generate Implicit Neural Assets in the Wild

• 55、Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images

• 56、HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images

• 57、Learning 3D-aware Image Synthesis with Unknown Pose Distribution

• 58、Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field

• 59、Magic3D: High-Resolution Text-to-3D Content Creation

• 60、NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images

• 61、NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models

• 62、Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

• 63、SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

• 64、SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation

• 65、Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

• 66、T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

• 67、TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision

九、deepfake检测

• 68、Detecting and Grounding Multi-Modal Media Manipulation

十、图像超分

• 69、Activating More Pixels in Image Super-Resolution Transformer

• 70、Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild

• 71、Implicit Diffusion Models for Continuous Super-Resolution

• 72、Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation

• 73、Structured Sparsity Learning for Efficient Video Super-Resolution

• 74、Super-Resolution Neural Operator

• 75、Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting

十一、风格迁移

• 76、CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer

• 77、Inversion-Based Style Transfer with Diffusion Models

• 78、Neural Preset for Color Style Transfer

十二、去雨去噪去模糊

• 79、Learning A Sparse Transformer Network for Effective Image Deraining

• 80、Masked Image Training for Generalizable Deep Image Denoising

• 81、Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior

十三、图像分割

• 82、DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation

• 83、Generative Semantic Segmentation

• 84、Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs

• 85、Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

十四、视频相关

• 86、A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

• 87、A Unified Pyramid Recurrent Network for Video Frame Interpolation

• 88、Conditional Image-to-Video Generation with Latent Flow Diffusion Models

• 89、Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding

• 90、Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation

• 91、MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

• 92、MOSO: Decomposing MOtion, Scene and Object for Video Prediction

• 93、Text-Visual Prompting for Efficient 2D Temporal Video Grounding

• 94、Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers

• 95、Video Probabilistic Diffusion Models in Projected Latent Space

• 96、VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

十五、对抗攻击

• 97、Adversarial Attack with Raindrops

• 98、TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets

十六、扩散模型改进

• 99、All are Worth Words: A ViT Backbone for Diffusion Models

• 100、Towards Practical Plug-and-Play Diffusion Models

• 101、Wavelet Diffusion Models are fast and scalable Image Generators

十七、数据增广

• 102、DCFace: Synthetic Face Generation with Dual Condition Diffusion Model

• 103、Leveraging GANs for data scarcity of COVID-19: Beyond the hype

• 104、Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field

十八、说话人生成

• 105、MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation

• 106、Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert

十九、视图合成

• 107、Consistent View Synthesis with Pose-Guided Diffusion Models

二十、目标检测

• 108、Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains

二十一、人像生成-姿态迁移

• 109、Person Image Synthesis via Denoising Diffusion Model

• 110、VGFlow: Visibility guided Flow Network for Human Reposing

二十二、发型迁移

• 111、StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer

二十三、图像修复

• 112、SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model

二十四、表征学习

• 113、GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds

二十五、语音相关

• 114、Conditional Generation of Audio from Video via Foley Analogies

• 115、Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos

• 116、Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment

二十六、域适应-迁移学习

• 117、Back to the Source: Diffusion-Driven Test-Time Adaptation

• 118、Domain Expansion of Image Generators

• 119、Zero-shot Generative Model Adaptation via Image-specific Prompt Learning

二十七、知识蒸馏

• 120、KD-DLGAN: Data Limited Image Generation via Knowledge Distillation

二十八、字体生成

• 121、CF-Font: Content Fusion for Few-shot Font Generation

• 122、Handwritten Text Generation from Visual Archetypes

二十九、异常检测

• 123、SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection

三十、数据集

• 124、An Image Quality Assessment Dataset for Portraits

• 125、CelebV-Text: A Large-Scale Facial Text-Video Dataset

• 126、Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes

• 127、Uncurated Image-Text Datasets: Shedding Light on Demographic Bias

关注公众号【机器学习与AI生成创作】，更多精彩等你来读

深入浅出stable diffusion：AI作画技术背后的潜在扩散模型论文解读

深入浅出ControlNet，一种可控生成的AIGC绘画生成算法！ 

经典GAN不得不读：StyleGAN

 戳我，查看GAN的系列专辑~！

一杯奶茶，成为AIGC+CV视觉的前沿弄潮儿！

最新最全100篇汇总！生成扩散模型Diffusion Models

ECCV2022 | 生成对抗网络GAN部分论文汇总

CVPR 2022 | 25+方向、最新50篇GAN论文

 ICCV 2021 | 35个主题GAN论文汇总

超110篇！CVPR 2021最全GAN论文梳理

超100篇！CVPR 2020最全GAN论文梳理

拆解组新的GAN：解耦表征MixNMatch

StarGAN第2版：多域多样性图像生成

附下载 | 《可解释的机器学习》中文版

附下载 |《TensorFlow 2.0 深度学习算法实战》

附下载 |《计算机视觉中的数学方法》分享

《基于深度学习的表面缺陷检测方法综述》

《零样本图像分类综述: 十年进展》

《基于深度神经网络的少样本学习综述》

《礼记·学记》有云：独学而无友，则孤陋而寡闻

点击一杯奶茶，成为AIGC+CV视觉的前沿弄潮儿！，加入 AI生成创作与计算机视觉 知识星球！