edsr 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
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.
基于TensorFlow 2.x实现EDSR、WSWR和SRGAN，用于单张图像超分辨率
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
Tensorflow Implementation of enhanced deep super-resolution network (EDSR) and Super Resolution Generative Adversarial Networks(SRGAN) Paper
Can we perform face hallucination using limited set of unaligned pairs?
A simple image upscaler application using EDSR, ESPCN, FSRCNN, and LapSRN models
EDSR with depthwise separable convolution
🌃 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.