PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.
EDSR, RCAN, SRGAN, SRFEAT, ESRGAN
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Pytorch implementation for EDSR (CVPR2017)
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also sup...
翻译 - 开源图像和视频恢复工具箱,特别适用于超分辨率,包括EDSR,RCAN,SRResNet,SRGAN,ESRGAN,EDVR等。还支持StyleGAN2,DFDNet。
EDSR Super Resolution in Keras
EDSR MDSR SRGAN
Implementation of EDSR with GAN
EDSR Baseline的pytorch复现
This uses EDSR to upscale a video by three times
Tensorflow implementation of EDSR model, with several different variations
A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN
Different SSIM metrics in CNN-based super resolution algorithms (e.g., EDSR CVPRW2017, RDN CVPR2018, MSRN ECCV2018).
PyTorch implementation of Deep Convolution Networks based on EDSR for Compression(Jpeg) Artifacts Reduction
Comparison of various super resolution techniques for MRIs (T1 & T2)