Lornatang / ESRGAN-PyTorch
A simple implementation of esrgan, which uses the pytorch framework.
☆149Updated last year
Alternatives and similar repositories for ESRGAN-PyTorch
Users that are interested in ESRGAN-PyTorch are comparing it to the libraries listed below
Sorting:
- PyTorch implements `Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data` paper.☆35Updated last year
- [PRICAI 2023] A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.☆126Updated 3 years ago
- re-implementation super resolution pytorch using ESRGAN☆101Updated 4 years ago
- SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) implementation using PyTorch framework☆47Updated 3 years ago
- Pytorch framework can easily implement srcnn algorithm with excellent performance☆116Updated 2 years ago
- Simple realization of papers in oppo Research Institute super score competition.☆68Updated 2 years ago
- ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise …☆135Updated last year
- PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)☆130Updated 4 years ago
- Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.☆229Updated 2 years ago
- A simple and complete implementation of super-resolution paper.☆452Updated 10 months ago
- BasicSR-Examples illustrates how to easily use BasicSR in your own project☆227Updated 2 years ago
- ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an uno…☆138Updated 2 years ago
- PyTorch implements "Accurate Image Super-Resolution Using Very Deep Convolutional Networks"☆65Updated 3 years ago
- ☆349Updated 3 years ago
- PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"☆176Updated 3 years ago
- [CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution☆406Updated 2 years ago
- (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.☆321Updated last month
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆370Updated last year
- Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolutio…☆277Updated 3 years ago
- PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)☆243Updated 3 years ago
- PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)☆598Updated 6 years ago
- EDSR, RCAN, SRGAN, SRFEAT, ESRGAN☆237Updated 2 years ago
- Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.☆352Updated 3 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆237Updated 3 years ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆167Updated 3 years ago
- ☆177Updated 3 years ago
- MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)☆165Updated 3 years ago
- Revisiting RCAN: Improved Training for Image Super-Resolution☆94Updated 2 years ago
- Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020☆184Updated 4 years ago
- [IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, co…☆403Updated 4 years ago