Lornatang / Real_ESRGAN-PyTorchLinks
PyTorch implements `Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data` paper.
☆43Updated last year
Alternatives and similar repositories for Real_ESRGAN-PyTorch
Users that are interested in Real_ESRGAN-PyTorch are comparing it to the libraries listed below
Sorting:
- [PRICAI 2023] A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.☆132Updated 3 years ago
- Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolutio…☆280Updated 3 years ago
- Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.☆238Updated 2 years ago
- Image Super-resolution with An Enhanced Group Convolutional Neural Network (Neural Networks, 2022)☆63Updated 3 years ago
- Simple realization of papers in oppo Research Institute super score competition.☆67Updated 3 years ago
- BasicSR-Examples illustrates how to easily use BasicSR in your own project☆252Updated 3 years ago
- Revisiting RCAN: Improved Training for Image Super-Resolution☆96Updated 3 years ago
- ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise …☆136Updated last year
- models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"☆76Updated 3 years ago
- PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)☆234Updated 2 years ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆172Updated 3 years ago
- [CVPR 2024] CFAT: Unleashing Triangular Windows for Image Super-resolution☆94Updated 7 months ago
- PyTorch implements "Accurate Image Super-Resolution Using Very Deep Convolutional Networks"☆70Updated 3 years ago
- A simple implementation of esrgan, which uses the pytorch framework.☆155Updated 2 years ago
- [ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track i…☆366Updated last month
- ☆185Updated 3 years ago
- PyTorch code for our ICLR 2023 paper "Accurate Image Restoration with Attention Retractable Transformer".☆162Updated 3 years ago
- Blueprint Separable Residual Network for Efficient Image Super-Resolution☆179Updated 2 years ago
- [CVPR2023] Implementation of ''Omni Aggregation Networks for Lightweight Image Super-Resolution".☆256Updated 2 years ago
- Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation☆66Updated 2 years ago
- Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022☆150Updated 3 years ago
- The code for 'Intriguing Findings of Frequency Selection for Image Deblurring' and 'Deep Residual Fourier Transformation for Single Imag…☆277Updated 2 months ago
- [TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resol…☆480Updated last year
- Test-time Local Converter☆250Updated 2 years ago
- KBNet: Kernel Basis Network for Image Restoration☆213Updated 3 months ago
- Winner of runtime track in NTIRE 2022 challenge on Efficient Super-Resolution☆172Updated 3 years ago
- ☆50Updated 3 years ago
- PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)☆21Updated last year
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆389Updated last year
- Solution of the NTIRE 2022 Challenge on Efficient Super-Resolution☆123Updated 3 years ago