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.

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Fast stable diffusion on CPU

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

TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.

Super Resolution datasets and models in Pytorch

A generic framework which implements some famouts super-resolution models

PyTorch implementation of Deep Convolution Networks based on EDSR for Compression(Jpeg) Artifacts Reduction

Super-Resolution models implemented in PyTorch Lightning

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

ERNet: Segmentation of Endoplasmic Reticulum microscopy images using modified CNN-based image restoration models.

Quickly process image super-resolution reconstruction at any scale ratio

Can we perform face hallucination using limited set of unaligned pairs?

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

EDSR with depthwise separable convolution

EDSR implementation in tensorflow 2

PyTorch implementation of SRCNN and EDSR neural networks for Super Resolution Single Frame tasks

A simple image upscaler application using EDSR, ESPCN, FSRCNN, and LapSRN models

This repository is an implementation of EDSR model implemented in PyTorch