A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

A simple and complete implementation of super-resolution paper.

A modern PyTorch implementation of SRGAN

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

A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".

Various GAN Model

An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

这是一个srgan-keras的源码，可以用于训练自己的模型。

SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) implementation using PyTorch framework

驭风计划，深度学习: 1. Softmax实现手写数字识别(MNIST)； 2. 多层感知机实现手写数字识别(MNIST)； 3. PyTorch实战: CIFAR图像分类(CIFAR10)； 4. 脑部MRI图像分割(Kaggle-Brain MRI)； 5. 滴滴出行-交通场景目标检测(MMDetection,MMCV,COCO)； 6. 图像自然语言描述生成(COCO2014)； 7. SRGAN图像超分辨(DIV2K)。

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Official Pytorch Code for "Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN" - MICCAI 2022 Workshop

A tutorial to super resolution and SRGAN in PyTorch

PyTorch version of the paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Pytorch Implemenation of a SRGAN with regularization loss to stabilize GAN training. Work presented at the Japanese conference MIRU.

Implementation of D-SRGAN (Digital elevation map specific SRGAN for super resolution) in Pytorch.

Unofficial pytorch implementation of miSRGAN, in paper "3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction"

A PyTorch implementation of SRGAN

SRGAN图像超分的Pytorch代码实现

SRGAN(using pytorch)

srgan, esrgan论文复现, using pytorch

SRGAN on satellite images implemented in PyTorch

A PyTorch implementation of 3D GANs，based on SRGAN

Photo-Realistic single image super-resolution using Generative Adversarial Network (SRGAN) implemented using PyTorch.

No description available

PyTorch-SRGAN is a modern PyTorch implementation of SRGAN Single Example Super Resolution. PyTorch-SRGAN is a ServiceNow Research project that was started at Element AI.

A PyTorch implementation of SRGAN for Anime Face Super-resolution

An easy-to-use SRGAN-based Super Resolution tool using PyTorch

Super resolution of DSM

This repository contains a PyTorch implementation of MedSRGAN, a novel approach for enhancing the resolution of medical images using Generative Adversarial Networks (GANs).