【资源】超分辨率相关资源大列表
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作者:ChaofWang
来源:ChaofWang/Awesome-Super-Resolution
分享一个超分辨率相关资源列表,含图像和视频超分辨,内容包括相关论文、数据集、资料库等。
Awesome-Super-Resolution(in progress)
repositories
Awesome paper list:
Awesome repos:
Datasets
Note this table is referenced from here.
Name Usage Link Comments Set5 Test download jbhuang0604 SET14 Test download jbhuang0604 BSD100 Test download jbhuang0604 Urban100 Test download jbhuang0604 Manga109 Test website
SunHay80 Test download jbhuang0604 BSD300 Train/Val download
BSD500 Train/Val download
91-Image Train download Yang DIV2K2017 Train/Val website NTIRE2017 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
Dataset collections
Benckmark and DIV2K: Set5, Set14, B100, Urban100, Manga109, DIV2K2017 include bicubic downsamples with x2,3,4,8
SR_testing_datasets: Test: Set5, Set14, B100, Urban100, Manga109, Historical; Train: T91,General100, BSDS200
paper
Non-DL based approach
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
DL based approach
Note this table is referenced from here
Model Published Code Keywords SRCNN ECCV14 Keras Kaiming RAISR arXiv - Google, Pixel 3 ESPCN CVPR16 Keras Real time/SISR/VideoSR VDSR CVPR16 Matlab Deep, Residual DRCN CVPR16 Matlab Recurrent DRRN CVPR17 Caffe, PyTorch Recurrent LapSRN CVPR17 Matlab Huber loss IRCNN CVPR17 Matlab
EDSR CVPR17 PyTorch NTIRE17 Champion BTSRN CVPR17 - NTIRE17 SelNet CVPR17 - NTIRE17 TLSR CVPR17 - NTIRE17 SRGAN CVPR17 Tensorflow 1st proposed GAN VESPCN CVPR17 - VideoSR MemNet ICCV17 Caffe
SRDenseNet ICCV17 -, PyTorch Dense SPMC ICCV17 Tensorflow VideoSR EnhanceNet ICCV17 TensorFlow Perceptual Loss PRSR ICCV17 TensorFlow an extension of PixelCNN AffGAN ICLR17 -
MS-LapSRN TPAMI18 Matlab Fast LapSRN DCSCN arXiv Tensorflow
IDN CVPR18 Caffe Fast DSRN CVPR18 TensorFlow Dual state,Recurrent RDN CVPR18 Torch Deep, BI-BD-DN SRMD CVPR18 Matlab Denoise/Deblur/SR DBPN CVPR18 PyTorch NTIRE18 Champion WDSR CVPR18 PyTorch,TensorFlow NTIRE18 Champion ProSRN CVPR18 PyTorch NTIRE18 ZSSR CVPR18 Tensorflow Zero-shot FRVSR CVPR18 PDF VideoSR DUF CVPR18 Tensorflow VideoSR TDAN arXiv - VideoSR,Deformable Align SFTGAN CVPR18 PyTorch
CARN ECCV18 PyTorch Lightweight RCAN ECCV18 PyTorch Deep, BI-BD-DN MSRN ECCV18 PyTorch
SRFeat ECCV18 Tensorflow GAN ESRGAN ECCV18 PyTorch PRIM18 region 3 Champion FEQE ECCV18 Tensorflow Fast 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 MoreMNAS arXiv - Lightweight,NAS FALSR arXiv TensorFlow Lightweight,NAS Meta-SR arXiv
Arbitrary Magnification AWSRN arXiv PyTorch Lightweight OISR CVPR19 PyTorch ODE-inspired Network DPSR 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
Super Resolution 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
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