2018 CVPR GAN 相关论文调研
2018 CVPR GAN 相關(guān)論文調(diào)研
風(fēng)格遷移
1. PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup
（給人臉化妝的風(fēng)格轉(zhuǎn)移）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Chang_PairedCycleGAN_Asymmetric_Style_CVPR_2018_paper.pdf
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2.CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
（將圖片轉(zhuǎn)化為卡通風(fēng)格的GAN）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_CartoonGAN_Generative_Adversarial_CVPR_2018_paper.pdf
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3.StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
（人臉多種風(fēng)格轉(zhuǎn)換）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Choi_StarGAN_Unified_Generative_CVPR_2018_paper.pdf
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4.Multi-Content GAN for Few-Shot Font Style Transfer
（字體風(fēng)格轉(zhuǎn)換）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Azadi_Multi-Content_GAN_for_CVPR_2018_paper.pdf
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5.DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks
（圖到圖轉(zhuǎn)換）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Ma_DA-GAN_Instance-Level_Image_CVPR_2018_paper.pdf
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6. Conditional Image-to-Image translation
（圖到圖的轉(zhuǎn)換）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_Conditional_Image-to-Image_Translation_CVPR_2018_paper.pdf
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圖片處理
1. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
（去模糊）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Kupyn_DeblurGAN_Blind_Motion_CVPR_2018_paper.pdf
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2.Attentive Generative Adversarial Network for Raindrop Removal from A Single Image
（去除圖片中的雨滴）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Qian_Attentive_Generative_Adversarial_CVPR_2018_paper.pdf
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3. Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs
（用于照片增強(qiáng)）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Deep_Photo_Enhancer_CVPR_2018_paper.pdf
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4. SeGAN: Segmenting and Generating the Invisible
（去遮擋）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Ehsani_SeGAN_Segmenting_and_CVPR_2018_paper.pdf
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5.Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
（去陰影）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Stacked_Conditional_Generative_CVPR_2018_paper.pdf
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6.Image Blind Denoising With Generative Adversarial Network Based Noise Modeling
（去噪聲）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Image_Blind_Denoising_CVPR_2018_paper.pdf
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7. Single Image Dehazing via Conditional Generative Adversarial Network
（去噪聲）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Single_Image_Dehazing_CVPR_2018_paper.pdf
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圖片生成
1. ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
（空間轉(zhuǎn)換生成圖片）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_ST-GAN_Spatial_Transformer_CVPR_2018_paper.pdf
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2. SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
（由邊框生成圖片）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_SketchyGAN_Towards_Diverse_CVPR_2018_paper.pdf
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3. TextureGAN: Controlling Deep Image Synthesis with Texture Patches
（由紋路生成圖片）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Xian_TextureGAN_Controlling_Deep_CVPR_2018_paper.pdf
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4. Eye In-Painting with Exemplar Generative Adversarial Networks
（給人物畫眼睛）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Dolhansky_Eye_In-Painting_With_CVPR_2018_paper.pdf
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5.Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network
（文本生成圖片）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Photographic_Text-to-Image_Synthesis_CVPR_2018_paper.pdf
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6. Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks
（生成logo）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Sage_Logo_Synthesis_and_CVPR_2018_paper.pdf
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7. Cross-View Image Synthesis Using Conditional GANs
（街區(qū)俯視圖和直視轉(zhuǎn)換）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Regmi_Cross-View_Image_Synthesis_CVPR_2018_paper.pdf
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8. AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
（文本生成圖片）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_AttnGAN_Fine-Grained_Text_CVPR_2018_paper.pdf
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9. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
（圖像高分辨率）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_High-Resolution_Image_Synthesis_CVPR_2018_paper.pdf
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人臉相關(guān)
1. Finding Tiny Faces in the Wild with Generative Adversarial Network
（對(duì)低分辨率的人臉檢測）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Bai_Finding_Tiny_Faces_CVPR_2018_paper.pdf
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2. Learning Face Age Progression: A Pyramid Architecture of GANs
（預(yù)測年齡）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Learning_Face_Age_CVPR_2018_paper.pdf
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3. Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs
（對(duì)低分辨率人臉超分辨率）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Bulat_Super-FAN_Integrated_Facial_CVPR_2018_paper.pdf
4. Towards Open-Set Identity Preserving Face Synthesis
（人臉合成）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Bao_Towards_Open-Set_Identity_CVPR_2018_paper.pdf
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5. Weakly Supervised Facial Action Unit Recognition through Adversarial Training
（人臉表情識(shí)別）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Peng_Weakly_Supervised_Facial_CVPR_2018_paper.pdf
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6.FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis
（生成多角度人臉）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_FaceID-GAN_Learning_a_CVPR_2018_paper.pdf
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7. UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition
（人臉生成）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Deng_UV-GAN_Adversarial_Facial_CVPR_2018_paper.pdf
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8.Face Aging with Identity-Preserved Conditional Generative Adversarial Networks
（人臉老化）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Face_Aging_With_CVPR_2018_paper.pdf
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人體相關(guān)
1. Deformable GANs for Pose-based Human Image Generation
（人物姿態(tài)遷移）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Siarohin_Deformable_GANs_for_CVPR_2018_paper.pdf
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2. Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
(用GAN生成人行為軌跡追蹤)
http://openaccess.thecvf.com/content_cvpr_2018/papers/Gupta_Social_GAN_Socially_CVPR_2018_paper.pdf
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3. GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB
（用GAN生成的手勢圖片做手勢追蹤的數(shù)據(jù)集）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Mueller_GANerated_Hands_for_CVPR_2018_paper.pdf
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4. Multistage Adversarial Losses for Pose-Based Human Image Synthesis
（人體姿態(tài)合成）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Si_Multistage_Adversarial_Losses_CVPR_2018_paper.pdf
5. Disentangled Person Image Generation
（人體合成）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Ma_Disentangled_Person_Image_CVPR_2018_paper.pdf
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domain adaptation
（這個(gè)沒來得及找了，可能轉(zhuǎn)行咯~ 唉）
1. Generate to Adapt: Aligning Domains Using Generative Adversarial Networks
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2. Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
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3. Adversarial Feature Augmentation for Unsupervised Domain Adaptation
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4. Domain Generalization With Adversarial Feature Learning
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5. Image to Image Translation for Domain Adaptation
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6. Duplex Generative Adversarial Network for Unsupervised Domain Adaptation
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7. Conditional Generative Adversarial Network for Structured Domain Adaptation
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目標(biāo)跟蹤檢測
1.Generative Adversarial Learning Towards Fast Weakly Supervised Detection
（弱監(jiān)督檢測）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Generative_Adversarial_Learning_CVPR_2018_paper.pdf
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2. SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation
（對(duì)抗學(xué)習(xí)生成軌跡樣本）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_SINT_Robust_Visual_CVPR_2018_paper.pdf
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3. VITAL: VIsual Tracking via Adversarial Learning
http://openaccess.thecvf.com/content_cvpr_2018/papers/Song_VITAL_VIsual_Tracking_CVPR_2018_paper.pdf
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GAN模型優(yōu)化
1. SGAN: An Alternative Training of Generative Adversarial Network
（替代訓(xùn)練GAN）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Chavdarova_SGAN_An_Alternative_CVPR_2018_paper.pdf
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2. GAGAN: Geometry-Aware Generative Adversarial Networks
（一種關(guān)注幾何外形的GAN）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Kossaifi_GAGAN_Geometry-Aware_Generative_CVPR_2018_paper.pdf
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3.Global versus Localized Generative Adversarial Nets
(局部優(yōu)化GAN)
http://openaccess.thecvf.com/content_cvpr_2018/papers/Qi_Global_Versus_Localized_CVPR_2018_paper.pdf
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4. Generative Adversarial Image Synthesis with Decision Tree Latent Controller
（決策樹）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Kaneko_Generative_Adversarial_Image_CVPR_2018_paper.pdf
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5. Unsupervised Deep Generative Adversarial Hashing Network
（哈希GAN）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Dizaji_Unsupervised_Deep_Generative_CVPR_2018_paper.pdf
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6. Multi-Agent Diverse Generative Adversarial Networks
（多個(gè)生成器GAN）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Ghosh_Multi-Agent_Diverse_Generative_CVPR_2018_paper.pdf
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7. Duplex Generative Adversarial Network for Unsupervised Domain Adaptation
（雙鑒別器GAN）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Duplex_Generative_Adversarial_CVPR_2018_paper.pdf
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圖像分割
1. Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network
（圖像分割）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Translating_and_Segmenting_CVPR_2018_paper.pdf
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行人重識(shí)別
1. Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
（用GAN生成的人體檢測的圖片）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Wei_Person_Transfer_GAN_CVPR_2018_paper.pdf
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2. Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
http://openaccess.thecvf.com/content_cvpr_2018/papers/Deng_Image-Image_Domain_Adaptation_CVPR_2018_paper.pdf
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視覺特征提取
1. Visual Feature Attribution using Wasserstein GANs
http://openaccess.thecvf.com/content_cvpr_2018/papers/Baumgartner_Visual_Feature_Attribution_CVPR_2018_paper.pdf
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域自適應(yīng)學(xué)習(xí)
1. Generate To Adapt: Aligning Domains using Generative Adversarial Networks
（視覺域自適應(yīng)）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Sankaranarayanan_Generate_to_Adapt_CVPR_2018_paper.pdf
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圖像檢索
1. HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_HashGAN_Deep_Learning_CVPR_2018_paper.pdf
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遷移學(xué)習(xí)
1.Partial Transfer Learning With Selective Adversarial Networks
http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partial_Transfer_Learning_CVPR_2018_paper.pdf
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視頻生成
1. MoCoGAN: Decomposing Motion and Content for Video Generation
（用GAN生成視頻）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Tulyakov_MoCoGAN_Decomposing_Motion_CVPR_2018_paper.pdf
2. Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks
（生成延時(shí)視頻）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Xiong_Learning_to_Generate_CVPR_2018_paper.pdf
原文：https://blog.csdn.net/weixin_42445501/article/details/82792311?
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