超分辨率(Super Resulotion)相关资源大赏

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原文:Awesome-Super-Resolution,作者:ChaofWang,修改部分链接

图解热门算法




图片来自综述类#2

综述类


图片来自综述类#1

中文视频讲解 | bilibili | ppt

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)

| ScSR | CVPR08 | Matlab

| ANR | ICCV13 | codes

| A+ | ACCV14 | codes

| IA | CVPR16

| SelfExSR | CVPR15 | MATLAB

| NBSRF | ICCV15

| RFL | ICCV15 | codes

深度学习方法

| SRCNN | ECCV14 | codeKeras

| CSCN | ICCV15 | GitHub

| DCSCN | arxiv | Tensorflow

| RAISR | arXiv | Google, Pixel 3

| ESPCN | CVPR16 | Keras | Real time/SISR/VideoSR

| VDSR | CVPR16 | Caffe | Deep, Residual

| DRCN | CVPR16 | Matlab | Recurrent

| FSRCNN | ECCV16 | Matlab

| DRRN | CVPR17 | CaffePyTorch | Recurrent

| LapSRN | CVPR17 | Matlab | Huber loss

| EDSR | CVPR17 | PyTorch | NTIRE17 Champion

| BTSRN | CVPR17 | NTIRE17

| SelNet | CVPR17 | NTIRE17

| TLSR | CVPR17 | NTIRE17

| IRCNN | CVPR17 | Matlab

| 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

| MemNet | ICCV17 | Caffe

| SRDenseNet | ICCV17 | PyTorch | Dense

| SPMC | ICCV17 | Tensorflow | VideoSR

| DnCNN | TIP17 | Matlab

| IDN | CVPR18 | Caffe | Fast

| 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

| MSRN | ECCV18 | PyTorch |

| SRFeat | ECCV18 | Tensorflow | GAN

| NLRN | NIPS18 | Tensorflow | Non-local, Recurrent

| SRCliqueNet | NIPS18 | Wavelet

| FFDNet | TIP18 | Matlab

| CBDNet | arXiv | Matlab | Blind-denoise

| SOFVSR | ACCV18 | PyTorch |

| TecoGAN | arXiv | Tensorflow | VideoSR GAN

| RBPN | CVPR19 | PyTorch | VideoSR

| TSRN | ECCV18 | Pytorch |

| 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

| DPSR | CVPR19 | PyTorch

| DNI | CVPR19 | PyTorch

| 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

https://www.jianshu.com/p/ae1c51c0f243

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