A Collection of Papers and Codes for CVPR2020 Image Reconstruction
整理汇总了下今年CVPR图像重建相关的一些论文,包括超分辨率,图像恢复,去雨,去雾,去模糊,去噪等方向。大家如果觉得有帮助,欢迎star~~
- CVPR2020的所有论文:http://openaccess.thecvf.com/CVPR2020.py
- CVPR2020Workshops:http://openaccess.thecvf.com/CVPR2020_workshops/menu.py
- 论文:https://arxiv.org/abs/2003.03808
- 代码:https://github.com/adamian98/pulse
- 解析:杜克大学提出 AI 算法,拯救渣画质马赛克秒变高清
- 备注:自监督;GAN;放大像素64倍(暂时是最高倍数);将生成HR图像对应的LR图像与原图(LR)对比,找到最接近的那张,并反推找到对应的HR图像
- 论文:https://arxiv.org/abs/2003.07018
- 代码:https://github.com/guoyongcs/DRN
- 解析:
- 备注:DRN
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
- 作者: Lin Wang, Tae-Kyun Kim, Kuk-Jin Yoon
- 单位:韩国科学技术院;伦敦帝国学院
- 论文:http://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_EventSR_From_Asynchronous_Events_to_Image_Reconstruction_Restoration_and_Super-Resolution_CVPR_2020_paper.pdf
- 视频 :https://www.youtube.com/watch?v=OShS_MwHecs
- 数据集: https://github.com/wl082013/ESIM_dataset
- 备注:图像重建、恢复、超分
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers
- 作者: Shady Abu Hussein, Tom Tirer, Raja Giryes
- 论文:https://arxiv.org/abs/1912.00157
- 论文:http://openaccess.thecvf.com/content_CVPR_2020/papers/Liu_Residual_Feature_Aggregation_Network_for_Image_Super-Resolution_CVPR_2020_paper.pdf
- 代码:
- 解析:超越RCAN,图像超分又一峰:RFANet
- 备注:超越RCAN,图像超分又一峰:RFANet
- 论文:https://arxiv.org/abs/2003.10428
- 代码:https://github.com/cszn/USRNet
- 解析:CVPR2020:USRNet
- 备注:USRNet
- 论文:https://arxiv.org/abs/2003.13063
- 代码:https://github.com/Maclory/Deep-Iterative-Collaboration
- 解析:CVPR2020丨SPSR:基于梯度指导的结构保留超分辨率方法
- 备注:SPSR
- 论文:https://arxiv.org/abs/2004.06965
- 代码:
- 解析:UDVD:适用于可变降质类型的通用图像超分,附参考代码
- 备注:UDVD
- 论文:https://arxiv.org/abs/2005.12597
- 代码:
- 解析:NTIRE2020冠军方案RFB-ESRGAN:带感受野模块的超分网络
- 备注:NTIRE2020极限超分冠军方案RFB-ESRGAN;Workshops
- 论文:http://openaccess.thecvf.com/content_CVPRW_2020/html/w31/Ji_Real-World_Super-Resolution_via_Kernel_Estimation_and_Noise_Injection_CVPRW_2020_paper.html
- 代码:https://github.com/jixiaozhong/RealSR
- 解析:
- 备注:NTIRE2020-RWSR超分双赛道冠军方案;Workshops
- 论文:http://openaccess.thecvf.com/content_CVPRW_2020/papers/w31/Jo_Investigating_Loss_Functions_for_Extreme_Super-Resolution_CVPRW_2020_paper.pdf
- 代码:https://github.com/kingsj0405/ciplab-NTIRE-2020
- 解析:
- 备注:NTIRE2020极限超分亚军方案CIPLab;Workshops
- 论文:http://arxiv.org/abs/2006.02038
- 备注:解耦表征、多模图像转换、超分、修复
- 论文:https://arxiv.org/abs/1903.06048v3
- 代码:https://github.com/akanimax/msg-stylegan-tf
- 解析:CVPR2020之MSG-GAN:简单有效的SOTA
- 备注:NTIRE2020极限超分亚军方案CIPLab;Workshops
- 论文:https://arxiv.org/abs/1812.02898
- 代码:https://github.com/YapengTian/TDAN-VSR-CVPR-2020 Demo Video:https://www.youtube.com/watch?v=eZExENE50I0
- 备注:首次将形变卷积用到视频超分领域;TDAN
- 论文:https://arxiv.org/abs/2002.11616
- 代码:https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
- 解析:慢镜头变焦:视频超分辨率:CVPR2020论文解析
- 主页:https://alterzero.github.io/projects/STAR.html
- 论文:http://arxiv.org/abs/2003.13170
- 代码:https://github.com/alterzero/STARnet
Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation
Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
- 论文:http://openaccess.thecvf.com/content_CVPR_2020/papers/Zhang_Unsupervised_Adaptation_Learning_for_Hyperspectral_Imagery_Super-Resolution_CVPR_2020_paper.pdf
- 代码:https://github.com/JiangtaoNie/UAL
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
- 论文:http://openaccess.thecvf.com/content_CVPR_2020/html/Yoo_Rethinking_Data_Augmentation_for_Image_Super-resolution_A_Comprehensive_Analysis_and_CVPR_2020_paper.html
- 代码:https://github.com/clovaai/cutblur
- 论文:http://openaccess.thecvf.com/content_CVPR_2020/html/Wang_Dual_Super-Resolution_Learning_for_Semantic_Segmentation_CVPR_2020_paper.html
- 代码:https://github.com/wanglixilinx/DSRL
- 论文:https://arxiv.org/abs/2005.09704
- 备注:超高分辨率图像修复、注意力机制
- 论文:https://arxiv.org/abs/2004.03828
- 备注:注意力机制、类条件图像生成、图像修复
- 主页:https://csbhr.github.io/projects/cdvd-tsp/index.html
- 论文:https://arxiv.org/abs/2004.02501
- 代码:https://github.com/csbhr/CDVD-TSP
[1] 杜克大学提出 AI 算法,拯救渣画质马赛克秒变高清
[2] CVPR 2020 论文大盘点-超分辨率篇
[3] CVPR2020丨SPSR:基于梯度指导的结构保留超分辨率方法
[4] CVPR2020:USRNet
[5] UDVD:适用于可变降质类型的通用图像超分,附参考代码
[6] NTIRE2020冠军方案RFB-ESRGAN:带感受野模块的超分网络
[7] 超越RCAN,图像超分又一峰:RFANet
[8] #每日五分钟一读#Image Super-Resolution
[9] CVPR 2020 | 几篇GAN在low-level vision中的应用论文
[10] 超100篇!CVPR 2020最全GAN论文梳理汇总!
[11] CVPR2020之MSG-GAN:简单有效的SOTA
[12] CVPR2020-Code
[13] 慢镜头变焦:视频超分辨率:CVPR2020论文解析