Lornatang / ESRGAN-PyTorch
A simple implementation of esrgan, which uses the pytorch framework.
☆138Updated last year
Related projects ⓘ
Alternatives and complementary repositories for ESRGAN-PyTorch
- SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) implementation using PyTorch framework☆44Updated 3 years ago
- re-implementation super resolution pytorch using ESRGAN☆100Updated 4 years ago
- Pytorch framework can easily implement srcnn algorithm with excellent performance☆97Updated 2 years ago
- ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an uno…☆136Updated last year
- A simple and complete implementation of super-resolution paper.☆421Updated 4 months ago
- ☆342Updated 2 years ago
- BasicSR-Examples illustrates how to easily use BasicSR in your own project☆211Updated 2 years ago
- PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)☆124Updated 3 years ago
- [CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution☆396Updated 2 years ago
- PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)☆215Updated 2 years ago
- PyTorch implements `Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data` paper.☆34Updated 7 months ago
- ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise …☆131Updated 8 months ago
- (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.☆318Updated 2 years ago
- EDSR, RCAN, SRGAN, SRFEAT, ESRGAN☆233Updated last year
- Simple realization of papers in oppo Research Institute super score competition.☆67Updated 2 years ago
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆360Updated 8 months ago
- Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)☆449Updated 3 years ago
- [PRICAI 2023] A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.☆116Updated 2 years ago
- Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)☆650Updated last year
- Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.☆338Updated 3 years ago
- PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020)…☆399Updated 3 years ago
- PyTorch implements "Accurate Image Super-Resolution Using Very Deep Convolutional Networks"☆53Updated 2 years ago
- Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020☆183Updated 3 years ago
- PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)☆538Updated 5 years ago
- Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolutio…☆265Updated 2 years ago
- [ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, an…☆669Updated 6 months ago
- ☆164Updated 2 years ago
- (CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic☆362Updated 7 months ago
- [IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, co…☆393Updated 4 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆231Updated 7 months ago