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basicsr

Open Source Image and Video Restoration Toolbox, especially for Super-Resolution, including EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.

book_deeplearning_in_pytorch_source

bovik_niqe_spl2013

bsrgan

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (PyTorch) - We released the testing code!

cincgan-pytorch

Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.

consingan

PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)

dasr

[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

dbpn-pytorch

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

deep-burst-sr

Official implementation of Deep Burst Super-Resolution

edsr-pytorch

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

fmen--nju_jet

Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution

generators-with-stylegan2

Here is a series of face generators based on StyleGAN2

kernelgan

model-zoo

Examples of Generative Adversarial Networks built using torchgan

nrvqa

no reference image/video quaity assessment(BRISQUE/NIQE/PIQE/DIQA/deepBIQ/VSFA

p-books

palette-image-to-image-diffusion-models

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

pro_gan_pytorch

ProGAN package implemented as an extension of PyTorch nn.Module

pybrisque

A python implementation of BRISQUE Image Quality Assessment

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-zssr

Pytorch implementation of "Zero Shot" Super Resolution

pytorchintroduction

《深入浅出 PyTorch——从模型到源码》书中代码，学习用

rcan

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

real-sr

Real-World Super-Resolution via Kernel Estimation and Noise Injection

real-world-sr

[ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This code was the winning solution of the AIM challenge on Real-World Super-Resolution at ICCV 2019

realsr

Real-World Super-Resolution via Kernel Estimation and Noise Injection

sr3-image-super-resolution-via-iterative-refinement

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

srfbn_cvpr19

Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)

stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

super_resolution_with_cnns_and_gans

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch