CVPR 2018 资源汇总

傷城~ 2022-05-11 11:58 433阅读 0赞

本文转载自：[https://www.cnblogs.com/feifanrensheng/p/9153023.html][https_www.cnblogs.com_feifanrensheng_p_9153023.html]

# [CVPR2018资源汇总][https_www.cnblogs.com_feifanrensheng_p_9153023.html] #

CVPR 2018大会将于2018年6月18~22日于美国犹他州的盐湖城（Salt Lake City）举办。

CVPR2018论文集下载：[http://openaccess.thecvf.com/menu.py][http_openaccess.thecvf.com_menu.py]

目前CVPR2018论文还不能打包下载，但可以看到收录论文标题的清单，感兴趣的可以自行google/baidu下载

详细可以点击链接：[https://github.com/amusi/daily-paper-computer-vision/blob/master/2018/cvpr2018-paper-list.csv][https_github.com_amusi_daily-paper-computer-vision_blob_master_2018_cvpr2018-paper-list.csv]

cvpr2018论文解读集锦

[https://zhuanlan.zhihu.com/p/35131736][https_zhuanlan.zhihu.com_p_35131736]

CVPR 2017 论文解读集锦

[http://cvmart.net/community/article/detail/69][http_cvmart.net_community_article_detail_69]

ICCV 2017 论文解读集锦

[http://cvmart.net/community/article/detail/153][http_cvmart.net_community_article_detail_153]

CVPR2018 GAN相关论文汇总

链接：[https://zhuanlan.zhihu.com/p/36436452][https_zhuanlan.zhihu.com_p_36436452]

**1.** **数目统计：**

风格迁移/cycleGAN/domain adaptation **13****篇**

去雾/去遮挡/超像素重建/Photo Enhancement **7****篇**

GAN优化 **6****篇**

图像合成 **10****篇**

人脸相关 **7****篇**

姿态相关 **4****篇**

行人重识别 **3****篇**

其他类 **<3****篇**

**2.** **分析：**今年GAN的山头还是被domain adaptation和CycleGAN相关研究拿下，除此之外，图像合成和视觉病态问题也是GAN应用热点，人脸，行人识别异军突起，说明落地型工作开始增多。剩下几篇都属于挖坑型工作。

**风格迁移****/cycleGAN/domain adaptation****：**

**1.PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup****：**

Huiwen Chang (); Jingwan Lu (Adobe Research); Fisher Yu (UC Berkeley); Adam Finkelstein (Princeton Univ.)

**2.CartoonGAN: Generative Adversarial Networks for Photo Cartoonization****：**

Yang Chen (Tsinghua Univ.); Yu-Kun Lai (Cardiff Univ.); Yong-Jin Liu ()

**3.StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation****：**

Yunjey Choi (Korea Univ.); Minje Choi (Korea Univ.); Munyoung Kim (College of New Jersey); Jung-Woo Ha (NAVER); Sunghun Kim (Hong Kong Univ. of Science and Technology); Jaegul Choo (Korea Univ.)

**4.Generate to Adapt: Aligning Domains Using Generative Adversarial Networks:**

Swami Sankaranarayanan (Univ. of Maryland); Yogesh Balaji (Univ. of Maryland); Carlos D. Castillo (); Rama Chellappa (Univ. of Maryland)

**5.Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation****：**

Qingchao Chen (Unviersity College London); Yang Liu (Univ. of Cambridge); Zhaowen Wang (Adobe); Ian Wassell (); Kevin Chetty ()

**6.Multi-Content GAN for Few-Shot Font Style Transfer****：**

Samaneh Azadi (UC Berkeley); Matthew Fisher (Adobe); Vladimir G. Kim (Adobe Research); Zhaowen Wang (Adobe); Eli Shechtman (Adobe Research); Trevor Darrell (UC Berkeley)

**7.DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks****：**

Shuang Ma (SUNY Buffalo); Jianlong Fu (); Chang Wen Chen (); Tao Mei ()

**8.Adversarial Feature Augmentation for Unsupervised Domain Adaptation****：**

Riccardo Volpi (Istituto Italiano di Tecnologia); Pietro Morerio (Istituto Italiano di Tecnologia); Silvio Savarese (); Vittorio Murino (Istituto Italiano di Tecnologia)

**9.Domain Generalization With Adversarial Feature Learning****：**

Haoliang Li (Nanyang Technological Univ.); Sinno Jialin Pan (Nanyang Technological Univ.); Shiqi Wang (City Univ. of Hong Kong); Alex C. Kot ()

**10****：****Image to Image Translation for Domain Adaptation****：**

Zak Murez (UC San Diego); Soheil Kolouri (HRL Laboratories); David Kriegman (UC San Diego); Ravi Ramamoorthi (UC San Diego); Kyungnam Kim (HRL Laboratories)

**11.Partial Transfer Learning With Selective Adversarial Networks****：**

Zhangjie Cao (Tsinghua Univ.); Mingsheng Long (Tsinghua Univ.); Jianmin Wang (); Michael I. Jordan (UC Berkeley)

**12.Duplex Generative Adversarial Network for Unsupervised Domain Adaptation****：**

Lanqing Hu (ICT, CAS); Meina Kan (); Shiguang Shan (Chinese Academy of Sciences); Xilin Chen ()

**13.Conditional Generative Adversarial Network for Structured Domain Adaptation****：**

**去雾/去遮挡/超像素重建/Photo Enhancement ：**

**1.Single Image Dehazing via Conditional Generative Adversarial Network：**

Runde Li (Nanjing Univ. of Science and Technology ); Jinshan Pan (UC Merced); Zechao Li (Nanjing Univ. of Science and Technology ); Jinhui Tang ()

**2.DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks：**

Orest Kupyn (Ukrainian Catholic Univ.); Volodymyr Budzan (Ukrainian Catholic Univ.); Mykola Mykhailych (Ukrainian Catholic Univ.); Dmytro Mishkin (Czech Technical Univ.); Jiří Matas ()

**3.Deep Photo Enhancer: Unpaired Learning for Image Enhancement From Photographs With GANs：**

Yu-Sheng Chen (National Taiwan Univ.); Yu-Ching Wang (National Taiwan Univ.); Man-Hsin Kao (National Taiwan Univ.); Yung-Yu Chuang (National Taiwan Univ.)

**4.SeGAN: Segmenting and Generating the Invisible：**

Kiana Ehsani (Univ. of Washington); Roozbeh Mottaghi (Allen Institute for AI); Ali Farhadi (Allen Institute for AI, Univ. of Washington)

**5.Image Blind Denoising With Generative Adversarial Network Based Noise Modeling：**

Jingwen Chen (Sun Yat-sen Univ.); Jiawei Chen (Sun Yat-sen Univ.); Hongyang Chao (Sun Yat-sen Univ.); Ming Yang ()

**6.Attentive Generative Adversarial Network for Raindrop Removal From a Single Image：**

Rui Qian (Peking Univ.); Robby T. Tan (Yale-NUS College; National Univ. of Singapore); Wenhan Yang (Peking Univ.); Jiajun Su (Peking Univ.); Jiaying Liu (Peking Univ.)

**7.Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal：**

Jifeng Wang (Nanjing Univ. of Science and Technology); Xiang Li (Nanjing Univ. of Science and Technology); Jian Yang (Nanjing Univ. of Science and Technology)

**GAN优化：**

**1.SGAN: An Alternative Training of Generative Adversarial Networks：**

Tatjana Chavdarova (Idiap and EPFL); François Fleuret (Idiap Research Inst.)

**2.Multi-Agent Diverse Generative Adversarial Networks:**

Arnab Ghosh (Univ. of Oxford); Viveka Kulharia (Univ. of Oxford); Vinay P. Namboodiri (Indian Inst. of Technology Kanpur); Philip H.S. Torr (Oxford); Puneet K. Dokania (Univ. of Oxford)

**3.Generative Adversarial Image Synthesis With Decision Tree Latent Controller：**

Takuhiro Kaneko (NTT); Kaoru Hiramatsu (NTT); Kunio Kashino (NTT)

**4.Unsupervised Deep Generative Adversarial Hashing Network：**

Kamran Ghasedi Dizaji (Univ. of Pittsburgh); Feng Zheng (Univ. of Pittsburgh); Najmeh Sadoughi (UT Dallas); Yanhua Yang (Xidian Univ.); Cheng Deng (Xidian Univ.); Heng Huang (Univ. of Pittsburgh)

**5.Global Versus Localized Generative Adversarial Nets：**

Guo-Jun Qi (Univ. of Central Florida); Liheng Zhang (Univ. of Central Florida); Hao Hu (Univ. of Central Florida); Marzieh Edraki (Univ. of Central Florida ); Jingdong Wang (Microsoft Research); Xian-Sheng Hua (Microsoft Research)

**6.GAGAN: Geometry-Aware Generative Adversarial Networks：**

Jean Kossaifi (Imperial College London); Linh Tran (Imperial College London); Yannis Panagakis (); Maja Pantic (Imperial College London)

**图像合成：**

**1.ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing：**

Chen-Hsuan Lin (Carnegie Mellon Univ.); Ersin Yumer (Argo AI); Oliver Wang (Adobe); Eli Shechtman (Adobe Research); Simon Lucey ()

**2.SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis：**

Wengling Chen (Georgia Inst. of Technology); James Hays (Georgia Tech)

**3.Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network：**

Zizhao Zhang (Univ. of Florida); Lin Yang (); Yefeng Zheng (Simens )

**4.High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs：**

Ting-Chun Wang (NVIDIA); Ming-Yu Liu (NVIDIA); Jun-Yan Zhu (UC Berkeley); Andrew Tao (NVIDIA); Jan Kautz (NVIDIA); Bryan Catanzaro (NVIDIA)

**5.TextureGAN: Controlling Deep Image Synthesis With Texture Patches:**

Wenqi Xian (); Patsorn Sangkloy (Georgia Inst. of Technology); Varun Agrawal (); Amit Raj (Georgia Inst. of Technology); Jingwan Lu (Adobe Research); Chen Fang (Adobe Research); Fisher Yu (UC Berkeley); James Hays (Georgia Tech)

**6.Eye In-Painting With Exemplar Generative Adversarial Networks：**

Brian Dolhansky (Facebook); Cristian Canton Ferrer (Facebook)

**7.Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network：**

Zizhao Zhang (Univ. of Florida); Yuanpu Xie (Univ. of Florida); Lin Yang ()

**8.Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks：**

Alexander Sage (ETH Zürich); Eirikur Agustsson (ETH Zürich); Radu Timofte (ETH Zürich); Luc Van Gool (ETH Zürich)

**9.Cross-View Image Synthesis Using Conditional GANs：**

Krishna Regmi (Univ. of Central Florida); Ali Borji (Univ. of Central Florida)

**10.AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks：**

Tao Xu (Lehigh Univ.); Pengchuan Zhang (); Qiuyuan Huang (); Han Zhang (Rutgers); Zhe Gan (); Xiaolei Huang (Lehigh ); Xiaodong He ()

**人脸相关：**

**1.Finding Tiny Faces in the Wild With Generative Adversarial Network：**

Yancheng Bai (KAUST/Iscas); Yongqiang Zhang (Harbin Inst. of Technology/KAUST); Mingli Ding (); Bernard Ghanem ()

**2.Learning Face Age Progression: A Pyramid Architecture of GANs：**

Hongyu Yang (Beihang Univ.); Di Huang (); Yunhong Wang (); Anil K. Jain (MSU)

**3.Super-FAN: Integrated Facial Landmark Localization and Super-Resolution**

**of Real-World Low Resolution Faces in Arbitrary Poses With GANs：**

Adrian Bulat (); Georgios Tzimiropoulos ()

**4.Face Aging With Identity-Preserved Conditional Generative Adversarial Networks：**

Zongwei Wang (); Xu Tang (Baidu); Weixin Luo (ShanghaiTech Univ.); Shenghua Gao (ShanghaiTech Univ.)

**5.Towards Open-Set Identity Preserving Face Synthesis：**

Jianmin Bao (Univ. of Science and Technology of China); Dong Chen (Microsoft Research Asia); Fang Wen (); Houqiang Li (); Gang Hua

(Microsoft Research)

**6.Weakly Supervised Facial Action Unit Recognition Through Adversarial Training：**

Guozhu Peng (Univ. of Science and Technology of China); Shangfei Wang ()

**7.FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis：**

Yujun Shen (Chinese Univ. of Hong Kong); Ping Luo (Chinese Univ. of Hong Kong); Junjie Yan (); Xiaogang Wang (Chinese Univ. of Hong Kong); Xiaoou Tang (Chinese Univ. of Hong Kong)

**人体姿态相关：**

**1.GANerated Hands for Real-Time 3D Hand Tracking From Monocular RGB：**

Franziska Mueller (MPI Informatics); Florian Bernard (MPI Informatics); Oleksandr Sotnychenko (MPI Informatics); Dushyant Mehta (MPI Informatics); Srinath Sridhar (); Dan Casas (MPI Informatics); Christian Theobalt (MPI Informatics)

**2.Multistage Adversarial Losses for Pose-Based Human Image Synthesis：**

Chenyang Si (Inst. of Automation, Chinese Academy of Sciences); Wei Wang (); Liang Wang (); Tieniu Tan (NLPR)

**3.Deformable GANs for Pose-Based Human Image Generation：**

Aliaksandr Siarohin (DISI, Univ. of Trento); Enver Sangineto (Univ. of Trento); Stéphane Lathuilière (INRIA); Nicu Sebe (Univ. of Trento)

**4.Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks：**

Agrim Gupta (Stanford Univ.); Justin Johnson (Stanford Univ.); Li Fei-Fei (Stanford Univ.); Silvio Savarese (); Alexandre Alahi (EPFL)

**行人重识别：**

**1.Person Transfer GAN to Bridge Domain Gap for Person Re-Identification：**

Longhui Wei (Peking Univ.); Shiliang Zhang (Peking Univ.); Wen Gao (); Qi Tian ()

**2.Disentangled Person Image Generation：**

Liqian Ma (KU Leuven); Qianru Sun (MPI Informatics); Stamatios Georgoulis (KU Leuven); Luc Van Gool (KU Leuven); Bernt Schiele (MPI Informatics); Mario Fritz (MPI Informatics)

**3.Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification：**

Weijian Deng (Univ. of Chinese Academy); Liang Zheng (UT San Antonio); Qixiang Ye (); Guoliang Kang (Univ. of Technology Sydney); Yi Yang (); Jianbin Jiao ()

**目标跟踪：**

**1.VITAL: VIsual Tracking via Adversarial Learning：**

Yibing Song (Tencent AI Lab); Chao Ma (); Xiaohe Wu (Harbin Inst. of Technology); Lijun Gong (City Univ. of Hong Kong); Linchao Bao (Tencent AI Lab); Wangmeng Zuo (Harbin Inst. of Technology); Chunhua Shen (Univ. of Adelaide); Rynson W.H. Lau (City Univ. of Hong Kong); Ming-Hsuan Yang (UC Merced)

**2.SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation：**

Xiao Wang (Anhui Univ.); Chenglong Li (Anhui Univ.); Bin Luo (); Jin Tang ()

**目标检测：**

**1.Generative Adversarial Learning Towards Fast Weakly Supervised Detection：**

Yunhan Shen (Xiamen Univ.); Rongrong Ji (); Shengchuan Zhang (); Wangmeng Zuo (Harbin Inst. of Technology); Yan Wang (Microsoft)

**特征可解释性：**

**1.Visual Feature Attribution Using Wasserstein GANs：**

Christian F. Baumgartner (ETH Zürich); Lisa M. Koch (ETH Zürich); Kerem Can Tezcan (ETH Zürich); Jia Xi Ang (ETH Zürich); Ender Konukoglu (ETH Zürich)

**图像检索：**

**1.HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN：**

Yue Cao (Tsinghua Univ.); Bin Liu (Tsinghua Univ.); Mingsheng Long (Tsinghua Univ.); Jianmin Wang ()

**视频合成：**

**1.Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks：**

Wei Xiong (Univ. of Rochester); Wenhan Luo (Tencent AI Lab); Lin Ma (Tencent AI Lab); Wei Liu (); Jiebo Luo (Univ. of Rochester)

**2.MoCoGAN: Decomposing Motion and Content for Video Generation：**

Sergey Tulyakov (); Ming-Yu Liu (NVIDIA); Xiaodong Yang (NVIDIA); Jan Kautz (NVIDIA)

[https_www.cnblogs.com_feifanrensheng_p_9153023.html]: https://www.cnblogs.com/feifanrensheng/p/9153023.html
[http_openaccess.thecvf.com_menu.py]: http://openaccess.thecvf.com/menu.py
[https_github.com_amusi_daily-paper-computer-vision_blob_master_2018_cvpr2018-paper-list.csv]: https://github.com/amusi/daily-paper-computer-vision/blob/master/2018/cvpr2018-paper-list.csv
[https_zhuanlan.zhihu.com_p_35131736]: https://zhuanlan.zhihu.com/p/35131736
[http_cvmart.net_community_article_detail_69]: http://cvmart.net/community/article/detail/69
[http_cvmart.net_community_article_detail_153]: http://cvmart.net/community/article/detail/153
[https_zhuanlan.zhihu.com_p_36436452]: https://zhuanlan.zhihu.com/p/36436452