CVPR 2020之117篇GAN论文分类汇总清单

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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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