Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

动漫图片超分辨率（SISR）——基于WDSR (2019-4-30)

Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).

A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs

My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your dataset to train your networks

awesome super resoluiton paper collections w/o code including paper citation

A Keras implementation of a SISR (Single-Image Super-Resolution) Residual-CNN.

A curated list of awesome image super resolution

lots of single image super resolution model implementations in tensorflow

Graduation Project. Applying Generative Adversarial Networks(GAN) with Residual-In-Residual(RIR) blocks.

This repository contains source code implementation of assignments for NTU's MSAI course AI6126 on Advanced Computer Vision (2020 Sem 1).

Source codes for LGAN

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019) in pytorch

Sentinel-5P Single-Image Super-Resolution Toolbox

A solution of SISR that merges the ideas of SRGAN and Edge Informed SISR. This solution was presented on 1st SpainAI hackathon obtain 4th position.

Super resolution

An implementation of SISR