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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!
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
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
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
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
ManiGAN: Text-Guided Image Manipulation
CookGAN: Causality based Text-to-Image Synthesis
RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis from Prior Knowledge
State-Relabeling Adversarial Active Learning
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
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
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
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Semantic Image Manipulation Using Scene Graphs
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
Learning to Simulate Dynamic Environments with GameGAN
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
Augmenting Colonoscopy using Extended and Directional CycleGAN for Lossy Image Translation
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
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
UCTGAN: Diverse Image Inpainting based on Unsupervised Cross-Space Translation
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting
Semantic Pyramid for Image Generation
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
Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images
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
Adversarial Texture Optimization from RGB-D Scans
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
End-to-End Adversarial-Attention Network for Multi-Modal Clustering
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
Cross-modality Person re-identification with Shared-Specific Feature Transfer
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
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
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
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
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
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
AdversarialNAS: Adversarial Neural Architecture Search for GANs
Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data
G3AN: Disentangling Appearance and Motion for Video Generation
DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-move Forgery Detection and Localization
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks
GAN Compression: Efficient Architectures for Interactive Conditional GANs
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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