CVPR 2020之117篇GAN論文分類彙總清單

點擊上方「機器學習與生成對抗網絡」，關注"星標"

獲取有趣、好玩的前沿乾貨！

前言：詳細說明版可見：CVPR 2020最全GAN論文梳理彙總！，可後臺回覆 GAN 獲取分類、按文件夾彙總好的論文集！

---

目錄

• 1 虛擬試衣、時尚-妝容編輯
• 2 姿式轉換、人像合成
• 3 卡通化、上色、風格遷移
• 4 文本-圖像生成
• 5 主動學習
• 6 強化學習
• 7 自監督、半監督、無監督學習
• 8 少樣本、單樣本、零樣本學習
• 9 圖表示學習
• 10 域適應-知識遷移
• 11 遊戲生成
• 12 醫學圖像
• 13 多樣性生成
• 14 圖像恢復、超分去霧去雨
• 15 圖像修復
• 16 反射/反光、陰影去除與生成
• 17 圖像分解、分離
• 18 注意力機制
• 19 紋理生成
• 20 解耦表徵
• 21 聚類
• 22 語義分割
• 23 行人重識別
• 24 GAN結合對抗樣本攻擊
• 25 人臉方面
• 26 圖像轉換
• 27 訓練改進
• 28 語義生成
• 29 NAS
• 30 圖像配準
• 31 缺失數據處理
• 32 視頻生成
• 33 隱私保護
• 34 模型壓縮
• 35 3D等其它

1 虛擬試衣、時尚-妝容編輯

• 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 姿式轉換、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、風格遷移

• 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-圖像生成

• 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主動學習

• State-Relabeling Adversarial Active Learning

6 強化學習

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

7 自監督、半監督、無監督學習

• 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 少樣本、單樣本、零樣本學習

• 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 圖表示學習

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

• Semantic Image Manipulation Using Scene Graphs

10 域適應、知識遷移

• 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 遊戲生成

• Learning to Simulate Dynamic Environments with GameGAN

12 醫學圖像

• 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 多樣性生成

• 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 圖像恢復、超分去霧去雨

• 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 圖像修復

• 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、陰影去除與生成

• 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 圖像分解、分離

• Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
• Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images

18 注意力機制

• 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 紋理生成

• Adversarial Texture Optimization from RGB-D Scans

20 解耦表徵

• 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 聚類

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

22 語義分割

• Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation

23 行人重識別

• 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結合對抗攻擊/樣本

• 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 人臉方面

• 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 圖像轉換

• 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 訓練改進

• 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 語義生成

• 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 圖像配準

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

31 缺失數據處理

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

32 視頻生成

• G ³AN: Disentangling Appearance and Motion for Video Generation

33 隱私保護

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

• CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks

34 模型壓縮

• 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

更多分享：


  

   
   
    
    
             
    

   
 
 
    附下載 | 《可解釋的機器學習》中文版 
 
    
 

   
  

   
   
    
    
             
    

   
 
 
    附下載 |《TensorFlow 2.0 深度學習算法實戰》 
 
    
 

   
  

   
   
    
    
             
    

   
 
 
    附下載 |《計算機視覺中的數學方法》分享 
 
    
 

   
  

   
   
    
    
             
    

   
 
 
    
 

   
  

   
   
    
    
             
    

   
 
 
    超100篇！CVPR 2020最全GAN論文梳理彙總！ 
 
    
 

   
  

   
   
    
    
             
    

   
 
 
    CVPR 2020 | 幾篇GAN語義生成論文 
 
    
 

   
  

   
   
    
    
             
    

   
 
 
    CVPR 2020 | GAN中的反射/光和陰影 
 
    
 

   
  

   
   
    
    
             
    

   
 
 
    CVPR 2020 | 幾篇 image-to-image 論文速遞 

   
  

   
   
    
    
             
    

   
 
 
    CVPR 2020 | 人臉圖像GAN（附多篇論文下載） 

   
   
 
    
    
     
     
              
     
 
    

    
  
     
     
      
      
               
      
  
     2020年5月60篇GAN論文彙總
    
  
     
     
      
      
               
      
  
     

   
 
    
    
     
     
              
     
 
    
   
 
    
    
     
     
              
     
 
    

    
  
     
     
      
      
               
      
  
     拆解組新的GAN：解耦表徵MixNMatch
   
 
    
    
     
     
              
     
 
    

本文分享自微信公衆號 - 機器學習與生成對抗網絡（AI_bryant8）。
若有侵權，請聯繫 support@oschina.cn 刪除。
本文參與「OSC源創計劃」，歡迎正在閱讀的你也加入，一塊兒分享。