image-super-resolution

SwinIR: Image Restoration Using Swin Transformer (official repository)

[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution

TensorFlow JS models for MIRNet for low-light💡 image enhancement

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

Camera Lens Super-Resolution in CVPR 2019

Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

Official code (Tensorflow) for paper "Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks"

Pytorch implement: Residual Dense Network for Image Super-Resolution

Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)

PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)

Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)

Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.

Simultaneous Enhancement and Super-Resolution. #RSS2020

PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)

PyTorch implementation of Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (CVPR 2016)

paper implement : Fast and Accurate Single Image Super-Resolution via Information Distillation Network

Underwater Image Super-Resolution using Deep Residual Multipliers. #ICRA2020

Demonstration implementations of neural network image processing algorithms

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

Keras Implementation of the paper Residual Feature Distillation Network for Lightweight Image Super-Resolution

This repository contains examples of how to use graphic and machine learning APIs from Hotpot.ai. Our APIs include background removal, image super-resolution, image style transfer, picture restoration, and picture colorization.

PyTorch implementation of Image Super-Resolution Using Very Deep Residual Channel Attention Networks (ECCV 2018)

Code of Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

A curated list of resources for Low-level Vision Tasks

State-of-the-art image super resolution models for PyTorch.

PyTorch implementation of Image Super-Resolution via Deep Recursive Residual Network (CVPR 2017)