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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

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

tbsr

This is the official PyTorch implementation of TBSR. Our team received 2nd place (real data track) and 3rd place (synthetic track) in NTIRE 2022 Burst Super-Resolution Challenge (CVPRW 2022).