edsr

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.

Fast stable diffusion on CPU

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

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

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

Super-Resolution models implemented in PyTorch Lightning

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

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

Quickly process image super-resolution reconstruction at any scale ratio

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

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

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

Super Resolution using EDSR. Enhanced Deep Residual Networks for Single Image Super-Resolution (EDSR) model trained to convert a Low-Resolution image to a Super-Resolution image.

This repository is an implementation of EDSR model implemented in PyTorch

EDSR implementation in tensorflow 2