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.
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
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]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[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