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前言：详细说明版可见：CVPR 2020最全GAN论文梳理汇总！，可后台回复 GAN 获取分类、按文件夹汇总好的论文集！

目录

• 1 虚拟试衣、时尚-妆容编辑

• 2 姿势转换、人像合成

• 3 卡通化、上色、风格迁移

• 4 文本-图像生成

• 5 主动学习

• 6 强化学习

• 7 自监督、半监督、无监督学习

• 8 少样本、单样本、零样本学习

• 9 图表示学习

• 10 域适应-知识迁移

• 11 游戏生成

• 12 医学图像

• 13 多样性生成

• 14 图像恢复、超分去雾去雨

• 15 图像修复

• 16 反射/反光、阴影去除与生成

• 17 图像分解、分离

• 18 注意力机制

• 19 纹理生成

• 20 解耦表征

• 21 聚类

• 22 语义分割

• 23 行人重识别

• 24 GAN结合对抗样本攻击

• 25 人脸方面

• 26 图像转换

• 27 训练改进

• 28 语义生成

• 29 NAS

• 30 图像配准

• 31 缺失数据处理

• 32 视频生成

• 33 隐私保护

• 34 模型压缩

• 35 3D等其它

1 虚拟试衣、时尚-妆容编辑

• Fashion Editing with Adversarial Parsing Learning

• PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer

• Image Based Virtual Try-on Network from Unpaired Data

• Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content

2 姿势转换、人像合成

• MISC: Multi-condition Injection and Spatially-adaptive Compositing for Conditional Person Image Synthesis

• Deep Image Spatial Transformation for Person Image Generation

• Controllable Person Image Synthesis with Attribute-Decomposed GAN

• Wish You Were Here: Context-Aware Human Generation

3卡通化、上色、风格迁移

• Learning to Cartoonize Using White-box Cartoon Representations

• PuppeteerGAN: Arbitrary Portrait Animation with Semantic-aware Appearance Transformation

• Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping

• Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence

• Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer

4 文本-图像生成

• ManiGAN: Text-Guided Image Manipulation

• CookGAN: Causality based Text-to-Image Synthesis

• RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis from Prior Knowledge

5主动学习

• State-Relabeling Adversarial Active Learning

6 强化学习

• RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real

7 自监督、半监督、无监督学习

• Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning

• A Self-supervised Approach for Adversarial Robustness

• Transformation GAN for Unsupervised Image Synthesis and Representation Learning

• Unsupervised Learning for Intrinsic Image Decomposition from a Single Image

• Self-Supervised Viewpoint Learning From Image Collections

• Diverse Image Generation via Self-Conditioned GANs

• Self-supervised Domain-aware Generative Network for Generalized Zero-shot Learning

• PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

• Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

• Self-supervised Domain-aware Generative Network for Generalized Zero-shot Learning

8 少样本、单样本、零样本学习

• Adversarial Feature Hallucination Networks for Few-Shot Learning

• One-Shot Domain Adaptation For Face Generation

• Semi-supervised Learning for Few-shot Image-to-Image Translation

• Self-supervised Domain-aware Generative Network for Generalized Zero-shot Learning

9 图表示学习

• Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning

• Semantic Image Manipulation Using Scene Graphs

10 域适应、知识迁移

• MineGAN: effective knowledge transfer from GANs to target domains with few images

• Progressive Adversarial Networks for Fine-Grained Domain Adaptation

• Gradually Vanishing Bridge for Adversarial Domain Adaptation

• Domain Adaptation for Image Dehazing

11 游戏生成

• Learning to Simulate Dynamic Environments with GameGAN

12 医学图像

• Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data

• Augmenting Colonoscopy using Extended and Directional CycleGAN for Lossy Image Translation

13 多样性生成

• Diverse Image Generation via Self-Conditioned GANs

• UCTGAN: Diverse Image Inpainting based on Unsupervised Cross-Space Translation

• MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

• StarGAN v2: Diverse Image Synthesis for Multiple Domains

• Semantic Pyramid for Image Generation

14 图像恢复、超分去雾去雨

• Learning Invariant Representation for Unsupervised Image Restoration

• Domain Adaptation for Image Dehazing

• EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning

• Learning Texture Transformer Network for Image Super-Resolution

• PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

• Unpaired Image Super-Resolution using Pseudo-Supervision

• Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting

• Nested Scale-Editing for Conditional Image Synthesis

15 图像修复

• UCTGAN: Diverse Image Inpainting based on Unsupervised Cross-Space Translation

• Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting

• Semantic Pyramid for Image Generation

16 反射/反光、阴影去除与生成

• Learning to Shadow Hand-drawn Sketches

• Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images

• Single Image Reflection Removal through Cascaded Refinement

• Single Image Reflection Removal with Physically-Based Training Images

• Reflection Scene Separation From a Single Image

• ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes

• BEDSR-Net: A Deep Shadow Removal Network from a Single Document Image

17 图像分解、分离

• Unsupervised Learning for Intrinsic Image Decomposition from a Single Image

• Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images

18 注意力机制

• Attentive Normalization for Conditional Image Generation

• S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis

• Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models

• End-to-End Adversarial-Attention Network for Multi-Modal Clustering

• UCTGAN: Diverse Image Inpainting based on Unsupervised Cross-Space Translation

• VIBE: Video Inference for Human Body Pose and Shape Estimation

• DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-move Forgery Detection and Localization

• Deep Image Spatial Transformation for Person Image Generation

19 纹理生成

• Adversarial Texture Optimization from RGB-D Scans

20 解耦表征

• Semantic Pyramid for Image Generation

• MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation

• Image Processing Using Multi-Code GAN Prior

• Nested Scale-Editing for Conditional Image Synthesis

• G3AN: Disentangling Appearance and Motion for Video Generation

• Neural Head Reenactment with Latent Pose Descriptors

• Guided Variational Autoencoder for Disentanglement Learning

• Disentangled Image Generation Through Structured Noise Injection

21 聚类

• End-to-End Adversarial-Attention Network for Multi-Modal Clustering

22 语义分割

• Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation

23 行人重识别

• Cross-modality Person re-identification with Shared-Specific Feature Transfer

• Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking

24 GAN结合对抗攻击/样本

• PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving

• Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

• Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles

• A Self-supervised Approach for Adversarial Robustness

• DaST: Data-free Substitute Training for Adversarial Attacks

• LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks

• Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking

25 人脸方面

• Intuitive, Interactive Beard and Hair Synthesis with Generative Models

• Disentangled Image Generation Through Structured Noise Injection

• Adversarial Latent Autoencoders

• StyleRig: Rigging StyleGAN for 3D Control over Portrait Images

• Deep 3D Portrait from a Single Image

• Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning

• MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

• Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses

• Interpreting the Latent Space of GANs for Semantic Face Editing

• One-Shot Domain Adaptation For Face Generation

• Cross-Spectral Face Hallucination via Disentangling Independent Factors

• Copy and Paste GAN: Face Hallucination from Shaded Thumbnails

• The GAN that Warped: Semantic Attribute Editing with Unpaired Data

• Neural Head Reenactment with Latent Pose Descriptors

• CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks

• Rotate-and-Render: Unsupervised Photorealistic Face Rotationfrom Single-View Images

26 图像转换

• Fine-grained Image-to-Image Transformation towards Visual Recognition

• Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

• Domain Adaptive Image-to-image Translation

• DUNIT: Detection-based Unsupervised Image-to-Image Translation

• High-Resolution Daytime Translation Without Domain Labels

• Semi-supervised Learning for Few-shot Image-to-Image Translation

• Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals

• Cross-domain Correspondence Learning for Exemplar-based Image Translation

• Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

• Augmenting Colonoscopy using Extended and Directional CycleGAN for Lossy Image Translation

• StarGAN v2: Diverse Image Synthesis for Multiple Domains

27 训练改进

• Analyzing and Improving the Image Quality of StyleGAN

• A Characteristic Function Approach to Deep Implicit Generative Modeling

• Alleviation of Gradient Exploding in GANs: Fake Can Be Real

• Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions

• A U-Net Based Discriminator for Generative Adversarial Networks

• MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks

• Noise Robust Generative Adversarial Networks

• On Positive-Unlabeled Classification in GAN

• AdversarialNAS: Adversarial Neural Architecture Search for GANs

• Adversarial Latent Autoencoders

• Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models

28 语义生成

• SEAN: Image Synthesis with Semantic Region-Adaptive Normalization

• Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

• SketchyCOCO: Image Generation from Freehand Scene Sketches

• BachGAN: High-Resolution Image Synthesis from Salient Object Layout

• Panoptic-based Image Synthesis

• Semantic Image Manipulation Using Scene Graphs

• Semantically Multi-modal Image Synthesis

• Wish You Were Here: Context-Aware Human Generation

29 NAS

• AdversarialNAS: Adversarial Neural Architecture Search for GANs

30 图像配准

• Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

31 缺失数据处理

• GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data

32 视频生成

• G³AN: Disentangling Appearance and Motion for Video Generation

33 隐私保护

• DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-move Forgery Detection and Localization

• CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks

34 模型压缩

• GAN Compression: Efficient Architectures for Interactive Conditional GANs

35 3D等其它

• StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching

• SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation

• Learning Generative Models of Shape Handles

• SynSin: End-to-end View Synthesis from a Single Image

• VIBE: Video Inference for Human Body Pose and Shape Estimation

• Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis

• LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks

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