Lornatang / ESRGAN-PyTorch
A simple implementation of esrgan, which uses the pytorch framework.
☆145Updated last year
Alternatives and similar repositories for ESRGAN-PyTorch:
Users that are interested in ESRGAN-PyTorch are comparing it to the libraries listed below
- Pytorch framework can easily implement srcnn algorithm with excellent performance☆106Updated 2 years ago
- re-implementation super resolution pytorch using ESRGAN☆100Updated 4 years ago
- PyTorch implements `Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data` paper.☆33Updated 11 months ago
- PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)☆128Updated 3 years ago
- A simple and complete implementation of super-resolution paper.☆442Updated 8 months ago
- [PRICAI 2023] A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.☆122Updated 3 years ago
- PyTorch implements "Accurate Image Super-Resolution Using Very Deep Convolutional Networks"☆62Updated 3 years ago
- PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)☆581Updated 5 years ago
- PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)☆232Updated 3 years ago
- SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) implementation using PyTorch framework☆46Updated 3 years ago
- EDSR, RCAN, SRGAN, SRFEAT, ESRGAN☆236Updated 2 years ago
- BasicSR-Examples illustrates how to easily use BasicSR in your own project☆222Updated 2 years ago
- Simple realization of papers in oppo Research Institute super score competition.☆68Updated 2 years ago
- ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an uno…☆138Updated last year
- [CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution☆404Updated 2 years ago
- ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise …☆133Updated last year
- Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolutio…☆274Updated 2 years ago
- ☆347Updated 3 years ago
- PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"☆177Updated 2 years ago
- [TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resol…☆433Updated 10 months ago
- Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch☆279Updated 6 years ago
- Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)☆675Updated 2 years ago
- Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.☆346Updated 3 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆237Updated 3 years ago
- A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial …☆1,202Updated 7 months ago
- [IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, co…☆399Updated 4 years ago
- Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)☆448Updated 3 years ago
- NIQE for IQA in python..☆243Updated 4 years ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆166Updated 2 years ago
- Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.☆225Updated last year