srresnet

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 support StyleGAN2, DFDNet.

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

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

Deep CNN for learning image restoration without clean data!

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

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN

[CNN PROGRAMMING] 004 - Residual Network

Tensorflow Implementation of enhanced deep super-resolution network (EDSR) and Super Resolution Generative Adversarial Networks(SRGAN) Paper

This is the model repository of YNU's deep learning principles and platform course assignments, which mainly use remote sensing image datasets to achieve classification, colorization and super-resolution.

Code for paper "Classification-based Dynamic Network for Efficient Super-Resolution"

使用 SR_ResNet 网络解决 去噪声和去压缩失真 问题，并完成MNN框架的移植

SISR implementations

Implementation and training of SRResNet and SRGAN models from scratch using PyTorch for image super-resolution.

This repository contains implementations, training routines, and evaluation scripts for various Single Image Super-Resolution (SISR) models.

PyTorch implementation of SRResNet and SRGAN for single image super-resolution. Includes training, evaluation, and utility scripts for generating high-resolution images from low-resolution inputs.