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⚡HowTo | 🔧Installation | 💻Training Commands | 🐢DatasetPrepare | 🏰Model Zoo

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🚀 We add BasicSR-Examples, which provides guidance and templates of using BasicSR as a python package. 🚀 <br> 📢 技术交流QQ群：320960100 入群答案：互帮互助共同进步 <br> 🧭 入群二维码 (QQ、微信) 入群指南 (腾讯文档) <br>

BasicSR (Basic Super Restoration) is an open-source image and video restoration toolbox based on PyTorch, such as super-resolution, denoise, deblurring, JPEG artifacts removal, etc.<br> BasicSR (Basic Super Restoration) 是一个基于 PyTorch 的开源图像视频复原工具箱, 比如超分辨率, 去噪, 去模糊, 去 JPEG 压缩噪声等.

🚩 New Features/Updates

✅ July 26, 2022. Add plot scripts 📊Plot.
✅ May 9, 2022. BasicSR joins XPixel.
✅ Oct 5, 2021. Add ECBSR training and testing codes: ECBSR.

ACMMM21: Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices
✅ Sep 2, 2021. Add SwinIR training and testing codes: SwinIR by Jingyun Liang. More details are in HOWTOs.md
✅ Aug 5, 2021. Add NIQE, which produces the same results as MATLAB (both are 5.7296 for tests/data/baboon.png).
✅ July 31, 2021. Add bi-directional video super-resolution codes: BasicVSR and IconVSR.

CVPR21: BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
More

If BasicSR helps your research or work, please help to ⭐ this repo or recommend it to your friends. Thanks😊 <br> Other recommended projects:<br> ▶️ Real-ESRGAN: A practical algorithm for general image restoration<br> ▶️ GFPGAN: A practical algorithm for real-world face restoration <br> ▶️ facexlib: A collection that provides useful face-relation functions.<br> ▶️ HandyView: A PyQt5-based image viewer that is handy for view and comparison. <br> ▶️ HandyFigure: Open source of paper figures <br> <sub>(ESRGAN, EDVR, DNI, SFTGAN)</sub> <sub>(HandyCrawler, HandyWriting)</sub>

⚡ HOWTOs

We provide simple pipelines to train/test/inference models for a quick start. These pipelines/commands cannot cover all the cases and more details are in the following sections.

GAN
StyleGAN2	Train	Inference
Face Restoration
DFDNet	-	Inference
Super Resolution
ESRGAN	TODO	TODO	SRGAN	TODO	TODO
EDSR	TODO	TODO	SRResNet	TODO	TODO
RCAN	TODO	TODO	SwinIR	Train	Inference
EDVR	TODO	TODO	DUF	-	TODO
BasicVSR	TODO	TODO	TOF	-	TODO
Deblurring
DeblurGANv2	-	TODO
Denoise
RIDNet	-	TODO	CBDNet	-	TODO

✨ Projects that use BasicSR

Real-ESRGAN: A practical algorithm for general image restoration
GFPGAN: A practical algorithm for real-world face restoration

If you use BasicSR in your open-source projects, welcome to contact me (by email or opening an issue/pull request). I will add your projects to the above list 😊

📜 License and Acknowledgement

This project is released under the Apache 2.0 license.<br> More details about license and acknowledgement are in LICENSE.

🌏 Citations

If BasicSR helps your research or work, please cite BasicSR.<br> The following is a BibTeX reference. The BibTeX entry requires the url LaTeX package.

@misc{basicsr,
  author =       {Xintao Wang and Liangbin Xie and Ke Yu and Kelvin C.K. Chan and Chen Change Loy and Chao Dong},
  title =        {{BasicSR}: Open Source Image and Video Restoration Toolbox},
  howpublished = {\url{https://github.com/XPixelGroup/BasicSR}},
  year =         {2022}
}

Xintao Wang, Liangbin Xie, Ke Yu, Kelvin C.K. Chan, Chen Change Loy and Chao Dong. BasicSR: Open Source Image and Video Restoration Toolbox. https://github.com/xinntao/BasicSR, 2022.

📧 Contact

If you have any questions, please email xintao.alpha@gmail.com, xintao.wang@outlook.com.

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QQ群: 扫描左边二维码或者搜索QQ群号: 320960100 入群答案：互帮互助共同进步
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(start from 2022-11-06)