Super-resolution (In progress…)

这个仓库主要是为了个人学习使用，很多资源来自于微信公众号的推荐、arXiv 网站、重要的国际会议（CVPR、ECCV、ICCV、NeuraIPS、ICLR）、GitHub 等。

This repository is mainly for personal study. Most of resources come from the WeChat recommendation, arXiv website, important conferences (CVPR, ECCV, ICCV, NeuraIPS and ICLR), GitHub, etc.

文章目录

Super-resolution (In progress...)Important RepositoriesAwesome SR ListsAwesome RepositoriesSR Metrics DatasetsPapersNon-DL Based ApproachDL Based ApproachSurvey WorkshopsExcellent Personal Website

Important Repositories

Awesome SR Lists

Single-Image-Super-Resolution

Super-Resolution.Benckmark

Video-Super-Resolution

VideoSuperResolution

Awesome Super-Resolution

Awesome-LF-Image-SR

Awesome-Stereo-Image-SR

AI-video-enhance

Awesome Repositories

RepositoriesFrameworkRepositoriesFrameworkEDSR-PyTorchPyTorchImage-Super-ResolutionKerasRCAN-PyTorchPyTorchimage-super-resolutionKerasCARN-PyTorchPyTorchsuper-resolutionKerasBasicSRPyTorchSuper-Resolution-ZooMxNetSuper-resolutionPyTorchneural-enhanceTheanoVideo-super-resolutionPyTorchsrezTensorflowMMSRPyTorchwaifu2xTorch

SR Metrics

Note this table is referenced from here.

MetricPapersMS-SSIMMultiscale structural similarity for image quality assessment, Wang, Zhou; Simoncelli, Eero P.; Bovik, Alan C., ACSSC 2003, [ACSSC], MS-SSIMSSIMImage Quality Assessment: From Error Visibility to Structural Similarity, Wang, Zhou; Bovik, Alan C.; Sheikh, Hamid R.; Simoncelli, Eero P, TIP 2004, [TIP], SSIMIFCAn information fidelity criterion for image quality assessment using natural scene statistics, Sheikh, Hamid Rahim; Bovik, Alan Conrad; de Veciana, Gustavo de Veciana, TIP 2005, [TIP], IFCVIFImage information and visual quality, Sheikh, Hamid Rahim; Bovik, Alan C., TIP 2006, [TIP], VIFFSIMFSIM: A Feature Similarity Index for Image Quality Assessment, Zhang, Lin; Zhang, Lei; Mou, Xuanqin; Zhang, David, TIP 2011, [Project], [TIP], FSIMNIQEMaking a “Completely Blind” Image Quality Analyzer, Mittal, Anish; Soundararajan, Rajiv; Bovik, Alan C., Signal Processing Letters 2013, [Matlab*], [Signal Processing Letters], NIQEMaLearning a no-reference quality metric for single-image super-resolution, Ma, Chao; Yang, Chih-Yuan; Yang, Xiaokang; Yang, Ming-Hsuan, CVIU 2017, [arXiv], [CVIU], [Matlab*], [Project]

Datasets

Note this table is referenced from here.

NameUsageLinkCommentsSet5Testdownloadsuper-resolution test datasetSET14Testdownloadsuper-resolution test datasetBSD100Testdownloadsuper-resolution test datasetUrban100Testdownloadsuper-resolution test datasetManga109Testdownloadsuper-resolution test datasetBSD300Train/ValdownloadBSD500Train/Valdownload91-ImageTraindownloadYangDIV2K2017Train/ValwebsiteNTIRE2017Flickr2KTraindownloadReal SRTrain/ValwebsiteNTIRE2019WaterlooTrainwebsiteVID4Testdownload4 videosMCL-VTrainwebsite12 videosGOPROTrain/Valwebsite33 videos, deblurCelebATrainwebsiteHuman facesSintelTrain/ValwebsiteOptical flowFlyingChairsTrainwebsiteOptical flowVimeo-90kTrain/Testwebsite90k HQ videosSR-RAWTrain/Testwebsiteraw sensor image datasetBenchmark and DIV2K(SR)Train/Testwebsitesuper-resolution dataset

Papers

Non-DL Based Approach

SCSR: TIP2010, Jianchao Yang et al.papercodeANR: ICCV2013, Radu Timofte et al.papercodeA+: ACCV 2014, Radu Timofte et al.papercodeIA: CVPR2016, Radu Timofte et al.paperSelfExSR: CVPR2015, Jia-Bin Huang et al.papercodeNBSRF: ICCV2015, Jordi Salvador et al.paperRFL: ICCV2015, Samuel Schulter et alpapercode

DL Based Approach

2014-2017201820192020Papers 2014-2017.mdPapers 2018.mdPapers 2019.mdPapers 2020.md

Survey

[1] Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue. Deep Learning for Single Image Super-Resolution: A Brief Review. arxiv, 2018. paper

[2] Saeed Anwar, Salman Khan, Nick Barnes. A Deep Journey into Super-resolution: A survey. arxiv, 2019.paper

[3] Wang, Z., Chen, J., & Hoi, S. C. (2019). Deep learning for image super-resolution: A survey. arXiv preprint arXiv:1902.06068.paper

[4] Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue (2019). Deep Learning for Single Image Super-Resolution: A Brief Review paper

[5] Hongying Liu,Zhubo Ruan.(2020). Video Super Resolution Based on Deep Learning: A comprehensive survey.paper

Workshops

NTIRE17NTIRE18PIRM18NTIRE19AIM19NTIRE20AIM20

Excellent Personal Website

Manri CheonYulun ZhangYapeng TianXintao Wang