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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
SwinIR: Image Restoration Using Swin Transformer (official repository)
| Date | Stars |
|---|---|
| 2026-07-24 | 5552 |
| 2026-07-25 | 5552 |
| 2026-07-28 | 5552 |
| 2026-07-30 | 5552 |
| 2026-08-06 | 5552 |
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# SwinIR: Image Restoration Using Swin Transformer [Jingyun Liang](https://jingyunliang.github.io), [Jiezhang Cao](https://www.jiezhangcao.com/), [Guolei Sun](https://vision.ee.ethz.ch/people-details.MjYzMjMw.TGlzdC8zMjg5LC0xOTcxNDY1MTc4.html), [Kai Zhang](https://cszn.github.io/), [Luc Van Gool](https://scholar.google.com/citations?user=TwMib_QAAAAJ&hl=en), [Radu Timofte](http://people.ee.ethz.ch/~timofter/) Computer Vision Lab, ETH Zurich --- [](https://arxiv.org/abs/2108.10257) [](https://github.com/JingyunLiang/SwinIR) [](https://github.com/JingyunLiang/SwinIR/releases)  [ <a href="https://colab.research.google.com/gist/JingyunLiang/a5e3e54bc9ef8d7bf594f6fee8208533/swinir-demo-on-real-world-image-sr.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="google colab logo"></a>](https://colab.research.google.com/gist/JingyunLiang/a5e3e54bc9ef8d7bf594f6fee8208533/swinir-demo-on-real-world-image-sr.ipynb) <a href="https://replicate.ai/jingyunliang/swinir"><img src="https://img.shields.io/static/v1?label=Replicate&message=Demo and Docker Image&color=blue"></a> [](https://playtorch.dev/snack/@playtorch/swinir/) [Gradio Web Demo](https://huggingface.co/spaces/akhaliq/SwinIR) This repository is the official PyTorch implementation of SwinIR: Image Restoration Using Shifted Window Transformer ([arxiv](https://arxiv.org/pdf/2108.10257.pdf), [supp](https://github.com/JingyunLiang/SwinIR/releases), [pretrained models](https://github.com/JingyunLiang/SwinIR/releases), [visual results](https://github.com/JingyunLiang/SwinIR/releases)). SwinIR achieves **state-of-the-art performance** in - bicubic/lighweight/real-world image SR - grayscale/color image denoising - grayscale/color JPEG compression artifact reduction </br> :rocket: :rocket: :rocket: **News**: - **Aug. 16, 2022**: Add PlayTorch Demo on running the real-world image SR model on mobile devices [](https://playtorch.dev/snack/@playtorch/swinir/). - **Aug. 01, 2022**: Add pretrained models and results on JPEG compression artifact reduction for color images. - **Jun. 10, 2022**: See our work on video restoration :fire::fire::fire: [VRT: A Video Restoration Transformer](https://github.com/JingyunLiang/VRT) [](https://github.com/JingyunLiang/VRT) [](https://github.com/JingyunLiang/VRT/releases) and [RVRT: Recurrent Video Restoration Transformer](https://github.com/JingyunLiang/RVRT) [](https://github.com/JingyunLiang/RVRT) [](https://github.com/JingyunLiang/RVRT/releases) for video SR, video deblurring, video denoising, video frame interpolation and space-time video SR. - **Sep. 07, 2021**: We provide an interactive online Colab demo for real-world image SR <a href="https://colab.research.google.com/gist/JingyunLiang/a5e3e54bc9ef8d7bf594f6fee8208533/swinir-demo-on-real-world-image-sr.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="google colab logo"></a>:fire: for comparison with [the first practical degradation model BSRGAN (ICCV2021) ](https://github.com/cszn/BSRGAN) and a recent model RealESR
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Jingyun Liang · Computer Vision Lab, ETH Zürich · Switzerland
56
Ahsen Khaliq · Huggingface
1
Chenxi
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:58b49128e6a2fd05, topic:transformer
matched fp:58b49128e6a2fd05, topic:super-resolution