原文：Awesome-Super-Resolution，作者：ChaofWang，修改部分链接
图解热门算法
综述类
分类编年体 | Deep Learning for Image Super-resolution: A Survey | paper | github
视频超分 | Video-Super-Resolution
论文&代码
模型 | 论文 | 代码 | 备注
传统方法（非深度学习）
| IA | CVPR16
| NBSRF | ICCV15
深度学习方法
| DCSCN | arxiv | Tensorflow
| RAISR | arXiv | Google, Pixel 3
| ESPCN | CVPR16 | Keras | Real time/SISR/VideoSR
| VDSR | CVPR16 | Caffe | Deep, Residual
| DRCN | CVPR16 | Matlab | Recurrent
| DRRN | CVPR17 | Caffe，PyTorch | Recurrent
| LapSRN | CVPR17 | Matlab | Huber loss
| EDSR | CVPR17 | PyTorch | NTIRE17 Champion
| BTSRN | CVPR17 | NTIRE17
| SelNet | CVPR17 | NTIRE17
| TLSR | CVPR17 | NTIRE17
| Perceptual Loss | ECCV16
| SRGAN | CVPR17 | Tensorflow | 1st proposed GAN
| AffGAN | ICLR2017
| ESRGAN | ECCVW18 | PyTorch | PRIM18 region 3 Champion
| EPSR | ECCV18 | PyTorch | PRIM18 region 1 Champion
| PESR | ECCV18 | PyTorch | ECCV18 workshop
| FEQE | ECCV18 | Tensorflow | Fast
| EnhanceNet | ICCV17 | TensorFlow | Perceptual Loss
| PRSR | ICCV17 | TensorFlow | an extension of PixelCNN
| MS-LapSRN | TPAMI18 | Matlab | Fast LapSRN
| VESPCN | CVPR17 | VideoSR
| SRDenseNet | ICCV17 | PyTorch | Dense
| SPMC | ICCV17 | Tensorflow | VideoSR
| DSRN | CVPR18 | TensorFlow | Dual state，Recurrent
| RDN | CVPR18 | Torch | Deep, BI-BD-DN
| SRMD | CVPR18 | Matlab | Denoise/Deblur/SR
| xUnit | CVPR18 | PyTorch | Spatial Activation Function
| DBPN | CVPR18 | PyTorch | NTIRE18 Champion
| WDSR | CVPR18 | PyTorch | NTIRE18 Champion
| ProSRN | CVPR18 | PyTorch | NTIRE18
| ZSSR | CVPR18 | Tensorflow | Zero-shot
| FRVSR | CVPR18 | PDF | VideoSR
| DUF | CVPR18 | Tensorflow | VideoSR
| CARN | ECCV18 | PyTorch | Lightweight
| RCAN | ECCV18 | PyTorch | Deep, BI-BD-DN
| SRFeat | ECCV18 | Tensorflow | GAN
| NLRN | NIPS18 | Tensorflow | Non-local, Recurrent
| SRCliqueNet | NIPS18 | Wavelet
| CBDNet | arXiv | Matlab | Blind-denoise
| TecoGAN | arXiv | Tensorflow | VideoSR GAN
| RBPN | CVPR19 | PyTorch | VideoSR
| SRFBN | CVPR19 | PyTorch | Feedback
| AdaFM | CVPR19 | PyTorch | Adaptive Feature Modification Layers
| MoreMNAS | arXiv | Lightweight，NAS
| FALSR | arXiv | TensorFlow | Lightweight，NAS
| Meta-SR | CVPR19 | PyTorch | Arbitrary Magnification
| AWSRN | arXiv | PyTorch | Lightweight
| OISR | CVPR19 | PyTorch | ODE-inspired Network
| MAANet | arXiv | Multi-view Aware Attention
| RNAN | ICLR19 | PyTorch | Residual Non-local Attention
| FSTRN | CVPR19 | VideoSR, fast spatio-temporal residual block
| MsDNN | arXiv | TensorFlow | NTIRE19 real SR 21th place
| SAN | CVPR19 | Pytorch | Second-order Attention,cvpr19 oral
| EDVR | CVPRW19 | Pytorch | Video, NTIRE19 video restoration and enhancement champions
| Ensemble for VSR | CVPRW19 | VideoSR, NTIRE19 video SR 2nd place
| TENet | arXiv | Pytorch | a Joint Solution for Demosaicking, Denoising and Super-Resolution
| MCAN | arXiv | Pytorch | Matrix-in-matrix CAN, Lightweight
| IKC&SFTMD | CVPR19 | Blind Super-Resolution
| SRNTT | CVPR19 | TensorFlow | Neural Texture Transfer
| RawSR | CVPR19 | TensorFlow | Real Scene Super-Resolution, Raw Images
| resLF | CVPR19 | Light field
| CameraSR | CVPR19 | realistic image SR
| ORDSR | TIP | model | DCT domain SR
| U-Net | CVPRW19 | NTIRE19 real SR 2nd place, U-Net,MixUp,Synthesis
| DRLN | arxiv | Densely Residual Laplacian Super-Resolution
| EDRN | CVPRW19 | Pytorch | NTIRE19 real SR 9th places
| FC2N | arXiv | Fully Channel-Concatenated
| GMFN | BMVC2019 | Pytorch | Gated Multiple Feedback
| CNN&TV-TV Minimization | BMVC2019 | TV-TV Minimization
| HRAN | arXiv | Hybrid Residual Attention Network
| PPON | arXiv | code | Progressive Perception-Oriented Network
| SROBB | ICCV19 | Targeted Perceptual Loss
| RankSRGAN | ICCV19 | PyTorch | oral, rank-content loss
| edge-informed | ICCVW19 | PyTorch | Edge-Informed Single Image Super-Resolution
| s-LWSR | arxiv | Lightweight
| DNLN | arxiv | Video SR Deformable Non-local Network
| MGAN | arxiv | Multi-grained Attention Networks
| IMDN | ACM MM 2019 | PyTorch | AIM19 Champion
| ESRN | arxiv | NAS
| PFNL | ICCV19 | Tensorflow | VideoSR oral,Non-Local Spatio-Temporal Correlations
| EBRN | ICCV19 | Embedded Block Residual Network
| Deep SR-ITM | ICCV19 | matlab | SDR to HDR, 4K SR
| feature SR | ICCV19 | Super-Resolution for Small Object Detection
| STFAN | ICCV19 | PyTorch | Video Deblurring
| KMSR | ICCV19 | PyTorch | GAN for blur-kernel estimation
| CFSNet | ICCV19 | PyTorch | Controllable Feature
| FSRnet | ICCV19 | Multi-bin Trainable Linear Units
数据集
| 测试集大礼包 | download | Set5, Set14, B100, Urban100, Manga109, Historical
| 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
