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

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

Quickly process image super-resolution reconstruction at any scale ratio

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

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

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.

Martialis - Optical Character Recognition Discord Bot running on Google's Tesseract OCR Engine

This project is about the fundamentals of super-resolution artificial intelligence, specifically centered on the Enhanced Deep Super-Resolution (EDSR) technique. EDSR is used to improve image quality and resolution. The project includes a practical example demonstrating how a basic EDSR model works in enhancing images.