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

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.

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

🌃 Comparing AI super-resolution models with visual examples and runtime analysis for image upscaling and restoration.

EDSR implementation in tensorflow 2

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.

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

Apply multiple satellite image super-resolution by EDSR

Deep.Imager - A Python based app powered by Streamlit! Upscales images using mathematical convolutions and Deep Learning without change/loss in input sharpness

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.

Image Classification

This is an Image Enhancement project which uses EDSR, WDSR, and SRGAN methods to increase the resolution of an image while also improving the details significantly.

Production-grade Single Image Super-Resolution framework in pure PyTorch

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

EDSR demo on Axera NPU

single image super resolution

以梵谷自畫像為主圖，用六種規模圖庫（2 色到 16,145 幅名畫）進行 Photomosaic 重構，探索資料量與視覺還原度的關係。