Coloquinte / torchSR
Super Resolution datasets and models in Pytorch
☆201Updated last year
Alternatives and similar repositories for torchSR
Users that are interested in torchSR are comparing it to the libraries listed below
Sorting:
- (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.☆321Updated last month
- A simple and complete implementation of super-resolution paper.☆452Updated 10 months ago
- Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.☆229Updated 2 years ago
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆370Updated last year
- A simple implementation of esrgan, which uses the pytorch framework.☆149Updated last year
- ☆349Updated 3 years ago
- CVPR 2021 Challenge on Super-Resolution Space☆105Updated 3 years ago
- ☆177Updated 3 years ago
- Open-source Library of Image Super-Resolution Models, Datasets, and Metrics for Benchmarking or Pretrained Use☆83Updated 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 ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel…☆87Updated 2 years ago
- [CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution☆406Updated 2 years ago
- Local Texture Estimator for Implicit Representation Function, in CVPR 2022☆180Updated last year
- 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
- A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.☆139Updated 4 years ago
- Content adaptive resampler for image downscaling☆480Updated 2 years ago
- [IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, co…☆403Updated 4 years ago
- PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"☆176Updated 3 years ago
- PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020)…☆405Updated 4 years ago
- An investigation project for SISR.☆98Updated 3 years ago
- [PRICAI 2023] A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.☆126Updated 3 years ago
- Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020☆184Updated 4 years ago
- PyTorch Image Quality Assessement package☆417Updated last year
- Pytorch framework can easily implement srcnn algorithm with excellent performance☆116Updated 2 years ago
- IQA: Deep Image Structure and Texture Similarity Metric☆418Updated 4 years ago
- Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks"…☆86Updated 3 years ago
- Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV…☆190Updated 3 years ago
- ☆59Updated 3 years ago
- Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained S…☆437Updated last year