There are 19 repositories under image-super-resolution topic.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
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
PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration at the Advances in Image Manipulation (AIM) workshop ECCV 2022, Tel Aviv
Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)
Camera Lens Super-Resolution in CVPR 2019
Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
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)
Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
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
A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐
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)
State-of-the-art image super resolution models for PyTorch.
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
A curated list of resources for Low-level Vision Tasks
Keras Implementation of the paper Residual Feature Distillation Network for Lightweight Image Super-Resolution
PyTorch implementation of Image Super-Resolution Using Very Deep Residual Channel Attention Networks (ECCV 2018)
Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks
Code of Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)
Hierarchical Pixel Integration for Lightweight Image Super-Resolution
PyTorch implementation of Image Super-Resolution via Deep Recursive Residual Network (CVPR 2017)
Plus Ultra is a tool to enhance digital media.
Image super-resolution implementations
PyTorch implementation of Image Super-Resolution Using Dense Skip Connections (ICCV 2017)
An image super-resolution implemented by Tensorflow