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.
| Repositories | Framework | Repositories | Framework | |
|---|---|---|---|---|
| EDSR-PyTorch | PyTorch | Image-Super-Resolution | Keras | |
| RCAN-PyTorch | PyTorch | image-super-resolution | Keras | |
| CARN-PyTorch | PyTorch | super-resolution | Keras | |
| BasicSR | PyTorch | Super-Resolution-Zoo | MxNet | |
| Super-resolution | PyTorch | neural-enhance | Theano | |
| Video-super-resolution | PyTorch | srez | Tensorflow | |
| MMSR | PyTorch | waifu2x | Torch |
Note this table is referenced from here.
| Metric | Papers |
|---|---|
| MS-SSIM | Multiscale structural similarity for image quality assessment, Wang, Zhou; Simoncelli, Eero P.; Bovik, Alan C., ACSSC 2003, [ACSSC], MS-SSIM |
| SSIM | Image Quality Assessment: From Error Visibility to Structural Similarity, Wang, Zhou; Bovik, Alan C.; Sheikh, Hamid R.; Simoncelli, Eero P, TIP 2004, [TIP], SSIM |
| IFC | An 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], IFC |
| VIF | Image information and visual quality, Sheikh, Hamid Rahim; Bovik, Alan C., TIP 2006, [TIP], VIF |
| FSIM | FSIM: A Feature Similarity Index for Image Quality Assessment, Zhang, Lin; Zhang, Lei; Mou, Xuanqin; Zhang, David, TIP 2011, [Project], [TIP], FSIM |
| NIQE | Making a “Completely Blind” Image Quality Analyzer, Mittal, Anish; Soundararajan, Rajiv; Bovik, Alan C., Signal Processing Letters 2013, [Matlab*], [Signal Processing Letters], NIQE |
| Ma | Learning 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.
| Name | Usage | Link | Comments |
|---|---|---|---|
| Set5 | Test | download | super-resolution test dataset |
| SET14 | Test | download | super-resolution test dataset |
| BSD100 | Test | download | super-resolution test dataset |
| Urban100 | Test | download | super-resolution test dataset |
| Manga109 | Test | download | super-resolution test dataset |
| BSD300 | Train/Val | download | |
| BSD500 | Train/Val | download | |
| 91-Image | Train | download | Yang |
| DIV2K2017 | Train/Val | website | NTIRE2017 |
| Flickr2K | Train | download | |
| Real SR | Train/Val | website | NTIRE2019 |
| Waterloo | Train | website | |
| VID4 | Test | download | 4 videos |
| MCL-V | Train | website | 12 videos |
| GOPRO | Train/Val | website | 33 videos, deblur |
| CelebA | Train | website | Human faces |
| Sintel | Train/Val | website | Optical flow |
| FlyingChairs | Train | website | Optical flow |
| Vimeo-90k | Train/Test | website | 90k HQ videos |
| SR-RAW | Train/Test | website | raw sensor image dataset |
| Benchmark and DIV2K(SR) | Train/Test | website | super-resolution dataset |
| SCSR: TIP2010, Jianchao Yang et al. | paper | code |
|---|---|---|
| ANR: ICCV2013, Radu Timofte et al. | paper | code |
| A+: ACCV 2014, Radu Timofte et al. | paper | code |
| IA: CVPR2016, Radu Timofte et al. | paper | |
| SelfExSR: CVPR2015, Jia-Bin Huang et al. | paper | code |
| NBSRF: ICCV2015, Jordi Salvador et al. | paper | |
| RFL: ICCV2015, Samuel Schulter et al | paper | code |
| 2014-2017 | 2018 | 2019 | 2020 |
|---|---|---|---|
| Papers 2014-2017.md | Papers 2018.md | Papers 2019.md | Papers 2020.md |
[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
| NTIRE17 | NTIRE18 | PIRM18 | NTIRE19 | AIM19 | NTIRE20 | AIM20 |
|---|
| Manri Cheon | Yulun Zhang | Yapeng Tian | Xintao Wang |
|---|