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🚀 We addBasicSR-Examples, which provides guidance and templates of using BasicSR as a python package. 🚀
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BasicSR (BasicSuperRestoration) is an open-sourceimage and video restoration toolbox based on PyTorch, such as super-resolution, denoise, deblurring, JPEG artifacts removal,etc.
BasicSR (BasicSuperRestoration) 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 joinsXPixel.
• ✅ Oct 5, 2021. AddECBSR training and testing codes:ECBSR.

  ACMMM21: Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices

• ✅ Sep 2, 2021. AddSwinIR training and testing codes:SwinIR byJingyun Liang. More details are inHOWTOs.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. Addbi-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😊
Other recommended projects:
▶️Real-ESRGAN: A practical algorithm for general image restoration
▶️GFPGAN: A practical algorithm for real-world face restoration
▶️facexlib: A collection that provides useful face-relation functions.
▶️HandyView: A PyQt5-based image viewer that is handy for view and comparison.
▶️HandyFigure: Open source of paper figures
_{(ESRGAN,EDVR,DNI,SFTGAN)(HandyCrawler,HandyWriting)}

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.

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

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

This project is released under theApache 2.0 license.
More details aboutlicense andacknowledgement are inLICENSE.

If BasicSR helps your research or work, please cite BasicSR.
The following is a BibTeX reference. The BibTeX entry requires theurl 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.

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

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(start from 2022-11-06)