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下述论文已分类打包好！超110篇，事实上仍有一些GAN论文未被包含入内……可见GAN在CVPR 2021仍十分火热。后台回复 2021GAN （长按红字、选中复制）获取分类、按文件夹汇总好的论文集，gan起来吧！！！

附带介绍版：超110篇！CVPR 2021最全GAN论文汇总梳理！

• 1 年龄迁移

• 2 发型迁移

• 3 妆容迁移

• 4 虚拟试衣

• 5 姿势迁移、人像合成

• 6 颜色控制

• 7 说话人驱动

• 8 人脸编辑

• 9 人脸识别

• 10 新视图生成

• 11 表征学习

• 12 解耦学习

• 13 主动学习

• 14 终身学习

• 15 迁移学习

• 16 少样本学习

• 17 单样本训练

• 18 多样化生成

• 19 多模态生成

• 20 新视图生成

• 21 行人重识别

• 22 人体运动合成

• 23 字体生成

• 24 仿真

• 25 医学图像

• 26 GAN的改进

• 27 结合VAE

• 28 结合transformer

• 29 模型压缩

• 30 散焦模糊检测

• 31 图像恢复、超分

• 32 图像去雨

• 33 图像修复

• 34 图像拼接融合

• 35 图像阴影

• 36 图像协调

• 37 图像分割

• 38 图像分类

• 39 图像转换

• 40 3D相关

一、年龄迁移

• 1，Continuous Face Aging via Self-estimated Residual Age Embedding

二、发型迁移

• 2，LOHO: Latent Optimization of Hairstyles via Orthogonalization https://github.com/dukebw/LOHO

三、妆容迁移

• 3，Spatially-invariant Style-codes Controlled Makeup Transfer https://github.com/makeuptransfer/SCGAN

• 4，Lipstick ain’t enough: Beyond Color Matching for In-the-Wild Makeup Transfer https://github.com/VinAIResearch/CPM

四、虚拟试衣

• 5，Disentangled Cycle Consistency for Highly-realistic Virtual Try-On

• 6，VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization

五、姿势迁移、人像合成

• 7，HumanGAN: A Generative Model of Human Images

• 8，MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation

• 9，PISE: Person Image Synthesis and Editing with Decoupled GAN

六、颜色控制

• 10，HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms https://github.com/mahmoudnafifi/HistoGAN HistoGAN

七、说话人驱动

• 11，Audio-Driven Emotional Video Portraits

• 12，Everything’s Talkin’: Pareidolia Face Reenactment

• 13，Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

• 14，One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing

• 15，Flow-guided One-shot Talking Face Generation with a High-resolution Audio-visual Dataset

八、人脸图像编辑

• 16，Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing https://github.com/naver-ai/StyleMapGAN

• 17，High-Fidelity and Arbitrary Face Editing

• 18，Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs https://github.com/a514514772/hijackgan

• 19，Linear Semantics in Generative Adversarial Networks https://github.com/AtlantixJJ/LinearGAN

• 20，DeFLOCNet: Deep Image Editing via Flexible Low-level Controls https://github.com/KumapowerLIU/DeFLOCNet

• 21，L2M-GAN: Learning to Manipulate Latent Space Semantics for Facial Attribute Editing

• 22，One Shot Face Swapping on Megapixels

九、人脸识别

• 23、A 3D GAN for Improved Large-pose Facial Recognition

• 24、When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework https://github.com/Hzzone/MTLFace

十、新视图生成

• 25、Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization

• 26、Layout-Guided Novel View Synthesis from a Single Indoor Panorama https://github.com/bluestyle97/PNVS

• 27、ID-Unet: Iterative Soft and Hard Deformation for View Synthesis https://github.com/MingyuY/ Iterative-view-synthesis

十一、表征学习

• 28、Generative Hierarchical Features from Synthesizing Images https://genforce.github.io/ghfeat/

十二、解耦学习

• 29，Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

• 30，Surrogate Gradient Field for Latent Space Manipulation

• 31，StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

• 32，Unsupervised Disentanglement of Linear-Encoded Facial Semantics

十三、主动学习

• 33、Task-Aware Variational Adversarial Active Learning

十四、终身学习

• 34、Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation

十五、迁移学习

• 35、Visualizing Adapted Knowledge in Domain Transfer https://github.com/houyz/DA_visualization

• 36、Efficient Conditional GAN Transfer with Knowledge Propagation across Classes https://github.com/mshahbazi72/cGANTransfer

十六、少样本学习

• 37，Few-shot Image Generation via Cross-domain Correspondence

十七、半监督学习

• 38、Mask-Embedded Discriminator with Region-based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis

• 39、DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

十八、单样本训练

• 40，Learning to Generate Novel Scene Compositions from Single Images and Videos

• 41，IMAGINE: Image Synthesis by Image-Guided Model Inversion

十九、多样化生成

• 42，DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network https://github.com/ruiliu-ai/DivCo

• 43，Diverse Semantic Image Synthesis via Probability Distribution Modeling https://github.com/tzt101/INADE.git

二十、多模态生成

• 44，Navigating the GAN Parameter Space for Semantic Image Editing

• 45，Context-Aware Layout to Image Generation with Enhanced Object Appearance https://github.com/wtliao/layout2img

• 46，House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects https://ennauata.github.io/houseganpp/page.html

• 47，TediGAN: Text-Guided Diverse Image Generation and Manipulation https://github.com/weihaox/TediGAN

• 48、Semantic Palette: Guiding Scene Generation with Class Proportions

• 49、StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis

二十一、行人重识别

• 50、 Joint Generative and Contrastive Learning for Unsupervised Person Re-identification https://github.com/chenhao2345/GCL

二十二、人体运动合成

• 51、 Single-Shot Freestyle Dance Reenactment

• 52、 Scene-aware Generative Network for Human Motion Synthesis

二十三、字体生成

• 53、DG-Font: Deformable Generative Networks for Unsupervised Font Generation https://github.com/ecnuycxie/DG-Font

二十四、仿真

• 54、DriveGAN: Towards a Controllable High-Quality Neural Simulation

二十五、医学图像

• 55、GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review

二十六、GAN的改进

• 56，Directional GAN: A Novel Conditioning Strategy for Generative Networks

• 57，Image Generators with Conditionally-Independent Pixel Synthesis

• 58，Efficient Feature Transformations for Discriminative and Generative Continual Learning

• 59，A Sliced Wasserstein Loss for Neural Texture Synthesis

• 60，Regularizing Generative Adversarial Networks under Limited Data https://github.com/google/lecam-gan

• 61，Training Generative Adversarial Networks in One Stage

• 62，Posterior Promoted GAN with Distribution Discriminator for Unsupervised Image Synthesis

• 63、Adversarial Generation of Continuous Images https://universome.github.io/inr-gan

• 64，Partition-Guided GANs

• 65，Positional Encoding as Spatial Inductive Bias in GANs

二十七、结合VAE

• 66，Dual Contradistinctive Generative Autoencoder

• 67，Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder https://taldatech.github.io/soft-introvae-web

二十八、结合transformer

• 68，Taming Transformers for High-Resolution Image Synthesis https://git.io/JLlvY

二十九、模型压缩

• 69，Anycost GANs for Interactive Image Synthesis and Editing https://github.com/mit-han-lab/anycost-gan

• 70，Content-Aware GAN Compression

三十、散焦模糊检测

• 71，Self-generated Defocus Blur Detection via Dual Adversarial Discriminators https://github.com/shangcai1/SG

三十一、图像恢复、超分

• 72，GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution

• 73，GAN Prior Embedded Network for Blind Face Restoration in the Wild https://github.com/yangxy/GPEN

• 74，Progressive Semantic-Aware Style Transformation for Blind Face Restoration

三十二、图像去雨

• 75，Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation

• 76，From Rain Generation to Rain Removal https://github.com/hongwang01/VRGNet

三十三、图像修复

• 77，Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE https://github.com/USTC-JialunPeng/Diverse-Structure-Inpainting

• 78，Image Inpainting with External-internal Learning and Monochromic Bottleneck https://github.com/Tengfei-Wang/external-internal-inpainting

• 79，Image Inpainting Guided by Coherence Priors of Semantics and Textures

• 80，PD-GAN: Probabilistic Diverse GAN for Image Inpainting https://github.com/KumapowerLIU/PD-GAN

三十四、图像拼接融合

• 81，Bridging the Visual Gap: Wide-Range Image Blending

三十五、图像阴影

• 82，Towards High Fidelity Face Relighting with Realistic Shadows

• 83，From Shadow Generation to Shadow Removal

三十六、图像协调

• 84，Intrinsic Image Harmonization https://github.com/zhenglab/IntrinsicHarmony

• 85，Region-aware Adaptive Instance Normalization for Image Harmonization https://github.com/junleen/RainNe

三十七、图像分割

• 86，Repurposing GANs for One-shot Semantic Part Segmentation https://RepurposeGANs.github.io/

• 87，Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization https://nvtlabs.github.io/semanticGAN/

三十八、图像分类

• 88，Ensembling with Deep Generative Views

三十九、图像转换

• 89，Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation https://github.com/eladrich/pixel2style2pixel

• 90，Image-to-image Translation via Hierarchical Style Disentanglement https://github.com/imlixinyang/HiSD

• 91，Memory-guided Unsupervised Image-to-image Translation

• 92，ReMix: Towards Image-to-Image Translation with Limited Data

• 93，Spatially-Adaptive Pixelwise Networks for Fast Image Translation

• 94，The Spatially-Correlative Loss for Various Image Translation Tasks https://github.com/lyndonzheng/F-LSeSim

• 95，CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

• 96，BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains

• 97，Model-Aware Gesture-to-Gesture Translation

• 98，Saliency-Guided Image Translation

• 99，Teachers Do More Than Teach: Compressing Image-to-Image Models https://github.com/snap-research/CAT

• 100，Not just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction

• 101，Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

• 102，CoMoGAN: continuous model-guided image-to-image translation https://github.com/cv-rits/CoMoGAN

• 103，Unbalanced Feature Transport for Exemplar-based Image Translation

• 104，Unpaired Image-to-Image Translation via Latent Energy Transport https://github.com/YangNaruto/latentenergy-transport

四十、3D相关

• 105，DECOR-GAN: 3D Shape Detailization by Conditional Refinement https://github.com/czq142857/DECOR-GAN

• 106，Inverting Generative Adversarial Renderer for Face Reconstruction

• 107，Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement

• 108，A 3D GAN for Improved Large-pose Facial Recognition

• 109，pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

• 110，StylePeople: A Generative Model of Fullbody Human Avatars saic-violet.github.io/style-people

• 111，Unsupervised 3D Shape Completion through GAN Inversion

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