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basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

espcn

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

espcn-pytorch

PyTorch implementation of Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (CVPR 2016)

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

esrgan-pytorch

super resolution pytorch using ESRGAN

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fsrcnn-pytorch

PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)

git-tips

:trollface:Git的奇技淫巧

keras-image-super-resolution

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN

learngit

ntire2017

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

oucml

plotneuralnet

Latex code for making neural networks diagrams

pwc

Papers with code. Sorted by stars. Updated weekly.

pytorch-srgan

A modern PyTorch implementation of SRGAN

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

pytorch-vdsr

VDSR (CVPR2016) pytorch implementation

pytorch-wgan

Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

rednet-pytorch

PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)

senet

Squeeze-and-Excitation Networks

single-image-super-resolution

A collection of high-impact and state-of-the-art SR methods

sknet

Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223

srcnn-pytorch

PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

srcnn_learning-master

srcnn_pytorch_1.0

The implemention of SRCNN by pytorch1.0

srgan

srgan-tensorflow

Tensorflow implementation of the SRGAN algorithm for single image super-resolution