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Showing content from https://github.com/XPixelGroup/BasicSR below:

XPixelGroup/BasicSR: Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

🚀 We add BasicSR-Examples, which provides guidance and templates of using BasicSR as a python package. 🚀
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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.
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😊
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.

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.
More details about license and acknowledgement are in LICENSE.

If BasicSR helps your research or work, please cite BasicSR.
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.

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

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
微信群: 我们的一群已经满500人啦，二群也超过200人了；进群可以添加 Liangbin 的个人微信 (右边二维码)，他会在空闲的时候拉大家入群~

(start from 2022-11-06)

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