2020年6月100篇最新GAN论文汇总

点击上方机器学习与生成对抗网络”,关注"星标"

获取有趣、好玩的前沿干货!

 戳我,查看GAN的系列专辑~!

据不完全统计,GAN在CVPR2020上超115篇之多;其中,可看到GAN在朝着无监督/自监督/弱监督/半监督、少样本/单样本/零样本、多模态、3D、可解释性/可控性、对抗/安全,以及更广泛的跨学科场景应用方向中不断靠拢。此外,每个月新挂在arxiv上的GAN相关论文也好几十多,来看看GAN在过去的6月都干了些啥吧!

1


6月下半旬

001  (2020-06-30) PriorGAN  Real Data Prior for Generative Adversarial Nets

     https://arxiv.org/pdf/2006.16990.pdf

002  (2020-06-29) Conditional GAN for timeseries generation

     https://arxiv.org/pdf/2006.16477.pdf

003  (2020-06-27) A Retinex based GAN Pipeline to Utilize Paired and Unpaired Datasets for Enhancing Low Light Images

     https://arxiv.org/pdf/2006.15304.pdf

004  (2020-06-26) Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Modality Transfer

     https://arxiv.org/pdf/2006.15264.pdf

005  (2020-06-26) Generative Damage Learning for Concrete Aging Detection using Auto-flight Images

     https://arxiv.org/pdf/2006.15257.pdf

006  (2020-06-26) HypervolGAN  An efficient approach for GAN with multi-objective training function

     https://arxiv.org/pdf/2006.15228.pdf

007  (2020-06-25) Lesion Mask-based Simultaneous Synthesis of Anatomic and MolecularMR Images using a GAN

     https://arxiv.org/pdf/2006.14761.pdf

008  (2020-06-25) Ensembles of Generative Adversarial Networks for Disconnected Data

     https://arxiv.org/pdf/2006.14600.pdf

009  (2020-06-25) Taming GANs with Lookahead

     https://arxiv.org/pdf/2006.14567.pdf

010  (2020-06-25) Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks

     https://arxiv.org/pdf/2006.14208.pdf

011  (2020-06-25) SRFlow  Learning the Super-Resolution Space with Normalizing Flow

     https://arxiv.org/pdf/2006.14200.pdf

012  (2020-06-24) FastSpec  Scalable Generation and Detection of Spectre Gadgets Using Neural Embeddings

     https://arxiv.org/pdf/2006.14147.pdf

013  (2020-06-24) Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders  A Comparison Study

     https://arxiv.org/pdf/2006.13944.pdf

014  (2020-06-22) Microstructure Generation via Generative Adversarial Network for Heterogeneous Topologically Complex 3D Materials

     https://arxiv.org/pdf/2006.13886.pdf

015  (2020-06-28) PhishGAN  Data Augmentation and Identification of Homoglpyh Attacks

     https://arxiv.org/pdf/2006.13742.pdf

016  (2020-06-24) Recurrent Relational Memory Network for Unsupervised Image Captioning

     https://arxiv.org/pdf/2006.13611.pdf

017  (2020-06-1) Deep Learning of Dynamic Subsurface Flow via Theory-guided Generative Adversarial Network

     https://arxiv.org/pdf/2006.13305.pdf

018  (2020-06-23) Probabilistic Crowd GAN  Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network

     https://arxiv.org/pdf/2006.12906.pdf

019  (2020-06-22) Efficient text generation of user-defined topic using generative adversarial networks

     https://arxiv.org/pdf/2006.12005.pdf

020  (2020-06-21) Generative models for sampling and phase transition indication in spin systems

     https://arxiv.org/pdf/2006.11868.pdf

021  (2020-06-20) BRULÉ  Barycenter-Regularized Unsupervised Landmark Extraction

     https://arxiv.org/pdf/2006.11643.pdf

022  (2020-06-27) G2D  Generate to Detect Anomaly

     https://arxiv.org/pdf/2006.11629.pdf

023  (2020-06-19) Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN

     https://arxiv.org/pdf/2006.11435.pdf

024  (2020-06-19) Online Kernel based Generative Adversarial Networks

     https://arxiv.org/pdf/2006.11432.pdf

025  (2020-06-19) Fast Generation of Large-scale Structure Density Maps via Generative Adversarial Networks

     https://arxiv.org/pdf/2006.11359.pdf

026  (2020-06-22) iSeeBetter  Spatio-temporal video super-resolution using recurrent generative back-projection networks

     https://arxiv.org/pdf/2006.11161.pdf

027  (2020-06-18) Differentiable Augmentation for Data-Efficient GAN Training

     https://arxiv.org/pdf/2006.10738.pdf

028  (2020-06-18) MMCGAN  Generative Adversarial Network with Explicit Manifold Prior

     https://arxiv.org/pdf/2006.10331.pdf

029  (2020-06-18) Adversarially Trained Multi-Singer Sequence-To-Sequence Singing Synthesizer

     https://arxiv.org/pdf/2006.10317.pdf

030  (2020-06-18) GAT-GMM  Generative Adversarial Training for Gaussian Mixture Models

     https://arxiv.org/pdf/2006.10293.pdf

031  (2020-06-17) Progressively Unfreezing Perceptual GAN

     https://arxiv.org/pdf/2006.10250.pdf

032  (2020-06-17) Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks

     https://arxiv.org/pdf/2006.10216.pdf

033  (2020-06-17) Head2Head++  Deep Facial Attributes Re-Targeting

     https://arxiv.org/pdf/2006.10199.pdf

034  (2020-06-17) Flows Succeed Where GANs Fail  Lessons from Low-Dimensional Data

     https://arxiv.org/pdf/2006.10175.pdf

035  (2020-06-17) Are you wearing a mask  Improving mask detection from speech using augmentation by cycle-consistent GANs

     https://arxiv.org/pdf/2006.10147.pdf

036  (2020-05-22) Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation

     https://arxiv.org/pdf/2006.10132.pdf

037  (2020-06-17) Research and development of MolAICal for drug design via deep learning and classical programming

     https://arxiv.org/pdf/2006.09747.pdf

038  (2020-06-17) Comparing Representations for Audio Synthesis Using Generative Adversarial Networks

     https://arxiv.org/pdf/2006.09266.pdf

039  (2020-06-16) Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database

     https://arxiv.org/pdf/2006.09179.pdf

040  (2020-06-16) AlphaGAN  Fully Differentiable Architecture Search for Generative Adversarial Networks

     https://arxiv.org/pdf/2006.09134.pdf

041  (2020-06-17) Adversarial representation learning for private speech generation

     https://arxiv.org/pdf/2006.09114.pdf

042  (2020-06-16) The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks

     https://arxiv.org/pdf/2006.09096.pdf

043  (2020-06-16) Two steps at a time -- taking GAN training in stride with Tseng's method

     https://arxiv.org/pdf/2006.09033.pdf

044  (2020-06-16) Improved Techniques for Training Score-Based Generative Models

     https://arxiv.org/pdf/2006.09011.pdf

045  (2020-06-15) DeshuffleGAN  A Self-Supervised GAN to Improve Structure Learning

     https://arxiv.org/pdf/2006.08694.pdf

046  (2020-06-15) COT-GAN  Generating Sequential Data via Causal Optimal Transport

     https://arxiv.org/pdf/2006.08571.pdf

047  (2020-06-15) Reciprocal Adversarial Learning via Characteristic Functions

     https://arxiv.org/pdf/2006.08413.pdf

048  (2020-06-15) GS-WGAN  A Gradient-Sanitized Approach for Learning Differentially Private Generators

     https://arxiv.org/pdf/2006.08265.pdf

049  (2020-06-15) AutoGAN-Distiller  Searching to Compress Generative Adversarial Networks

     https://arxiv.org/pdf/2006.08198.pdf

050  (2020-06-15) Non-convex Min-Max Optimization  Applications Challenges and Recent Theoretical Advances

     https://arxiv.org/pdf/2006.08141.pdf

2 


6月上半旬

001  (2020-06-14) Classify and Generate Reciprocally  Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data

     https://arxiv.org/pdf/2006.07841.pdf

002  (2020-06-26) 2D Image Relighting with Image-to-Image Translation

     https://arxiv.org/pdf/2006.07816.pdf

003  (2020-06-13) SE-MelGAN -- Speaker Agnostic Rapid Speech Enhancement

     https://arxiv.org/pdf/2006.07637.pdf

004  (2020-06-12) FakePolisher  Making DeepFakes More Detection-Evasive by Shallow Reconstruction

     https://arxiv.org/pdf/2006.07533.pdf

005  (2020-06-12) Dynamic Attention Based Generative Adversarial Network with Phase Post-Processing for Speech Enhancement

     https://arxiv.org/pdf/2006.07530.pdf

006  (2020-06-12) Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces

     https://arxiv.org/pdf/2006.07421.pdf

007  (2020-06-15) FedGAN  Federated Generative Adversarial Networks for Distributed Data

     https://arxiv.org/pdf/2006.07228.pdf

008  (2020-06-12) Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks

     https://arxiv.org/pdf/2006.07029.pdf

009  (2020-06-30) Improving GAN Training with Probability Ratio Clipping and Sample Reweighting

     https://arxiv.org/pdf/2006.06900.pdf

010  (2020-06-11) Conditional Sampling With Monotone GANs

     https://arxiv.org/pdf/2006.06755.pdf

011  (2020-06-11) Training Generative Adversarial Networks with Limited Data

     https://arxiv.org/pdf/2006.06676.pdf

012  (2020-06-11) Cumulant GAN

     https://arxiv.org/pdf/2006.06625.pdf

013  (2020-06-11) MatchGAN  A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network

     https://arxiv.org/pdf/2006.06614.pdf

014  (2020-06-11) GANgster  A Fraud Review Detector based on Regulated GAN with Data Augmentation

     https://arxiv.org/pdf/2006.06561.pdf

015  (2020-06-11) Large-Scale Adversarial Training for Vision-and-Language Representation Learning

     https://arxiv.org/pdf/2006.06195.pdf

016  (2020-06-11) On Noise Injection in Generative Adversarial Networks

     https://arxiv.org/pdf/2006.05891.pdf

017  (2020-06-10) To Regularize or Not To Regularize  The Bias Variance Trade-off in Regularized AEs

     https://arxiv.org/pdf/2006.05838.pdf

018  (2020-05-20) Inverse Estimation of Elastic Modulus Using Physics-Informed Generative Adversarial Networks

     https://arxiv.org/pdf/2006.05791.pdf

019  (2020-06-10) HiFi-GAN  High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

     https://arxiv.org/pdf/2006.05694.pdf

020  (2020-06-9) Conditional Sig-Wasserstein GANs for Time Series Generation

     https://arxiv.org/pdf/2006.05421.pdf

021  (2020-06-9) Towards Good Practices for Data Augmentation in GAN Training

     https://arxiv.org/pdf/2006.05338.pdf

022  (2020-06-17) Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models

     https://arxiv.org/pdf/2006.05331.pdf

023  (2020-06-9) Approximating Lipschitz continuous functions with GroupSort neural networks

     https://arxiv.org/pdf/2006.05254.pdf

024  (2020-06-9) A Survey on Generative Adversarial Networks  Variants Applications and Training

     https://arxiv.org/pdf/2006.05132.pdf

025  (2020-06-9) Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training

     https://arxiv.org/pdf/2006.04720.pdf

026  (2020-06-8) The Lipschitz Constant of Self-Attention

     https://arxiv.org/pdf/2006.04710.pdf

027  (2020-06-8) ColdGANs  Taming Language GANs with Cautious Sampling Strategies

     https://arxiv.org/pdf/2006.04643.pdf

028  (2020-06-8) Distributional Robustness with IPMs and links to Regularization and GANs

     https://arxiv.org/pdf/2006.04349.pdf

029  (2020-06-7) Generating Realistic Stock Market Order Streams

     https://arxiv.org/pdf/2006.04212.pdf

030  (2020-06-6) Steganography GAN  Cracking Steganography with Cycle Generative Adversarial Networks

     https://arxiv.org/pdf/2006.04008.pdf

031  (2020-06-6) Conditional Neural Architecture Search

     https://arxiv.org/pdf/2006.03969.pdf

032  (2020-06-6) A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI

     https://arxiv.org/pdf/2006.03896.pdf

033  (2020-06-5) Inception Augmentation Generative Adversarial Network

     https://arxiv.org/pdf/2006.03622.pdf

034  (2020-06-5) Structurally aware bidirectional unpaired image to image translation between CT and MR

     https://arxiv.org/pdf/2006.03374.pdf

035  (2020-06-4) CiwGAN and fiwGAN  Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks

     https://arxiv.org/pdf/2006.02951.pdf

036  (2020-06-3) Multiple Generative Adversarial Networks Analysis for Predicting Photographers' Retouching

     https://arxiv.org/pdf/2006.02921.pdf

037  (2020-06-4) GAN-Based Facial Attractiveness Enhancement

     https://arxiv.org/pdf/2006.02766.pdf

038  (2020-06-4) Some Theoretical Insights into Wasserstein GANs

     https://arxiv.org/pdf/2006.02682.pdf

039  (2020-06-3) Double Generative Adversarial Networks for Conditional Independence Testing

     https://arxiv.org/pdf/2006.02615.pdf

040  (2020-06-3) Rényi Generative Adversarial Networks

     https://arxiv.org/pdf/2006.02479.pdf

041  (2020-06-3) RODE-Net  Learning Ordinary Differential Equations with Randomness from Data

     https://arxiv.org/pdf/2006.02377.pdf

042  (2020-06-15) Approximation and convergence of GANs training  an SDE approach

     https://arxiv.org/pdf/2006.02047.pdf

043  (2020-06-2) Ear2Face  Deep Biometric Modality Mapping

     https://arxiv.org/pdf/2006.01943.pdf

044  (2020-06-1) A GAN-Based Image Transformation Scheme for Privacy-Preserving Deep Neural Networks

     https://arxiv.org/pdf/2006.01342.pdf

045  (2020-05-29) Improving EEG based continuous speech recognition using GAN

     https://arxiv.org/pdf/2006.01260.pdf

046  (2020-06-1) Using Generative Models for Pediatric wbMRI

     https://arxiv.org/pdf/2006.00727.pdf

047  (2020-05-31) G-IDS  Generative Adversarial Networks Assisted Intrusion Detection System

     https://arxiv.org/pdf/2006.00676.pdf

048  (2020-05-31) End-to-End Change Detection for High Resolution Drone Images with GAN Architecture

     https://arxiv.org/pdf/2006.00467.pdf

049  (2020-05-29) Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms

     https://arxiv.org/pdf/2006.00086.pdf

050  (2020-05-29) Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs

     https://arxiv.org/pdf/2006.00033.pdf

猜您喜欢:
超100篇!CVPR 2020最全GAN论文梳理汇总!

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》

你可能感兴趣的:(2020年6月100篇最新GAN论文汇总)