rcan

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.

Super Resolution datasets and models in Pytorch

Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

Super-Resolution models implemented in PyTorch Lightning

[FastMRI Challenge] E2E-VarNet + RCAN Combination for MRI Reconstruction

Quickly process image super-resolution reconstruction at any scale ratio

Code for paper "Classification-based Dynamic Network for Efficient Super-Resolution"

ROBOT.md — a single self-describing file so any agent can safely operate your robot.

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

SRGAN named MSCAR-GAN combined with EDSR, RCAN, MSRN

RCAN (Residual Channel Attention Network) model for SISR (Single Image Super-Resolution) task using PyTorch

Tensorflow 2.4 implementation of the RCAN Super-Resolution architecture, trained and validated on DIV2K datasets, and tested on recognized image sets (Set5, Set14, Urban100, Manga109)