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CVPR 2021：110篇GAN论文（清单版）-编程知识网 戳我，查看GAN的系列专辑~！

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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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