Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.9%) to scientific vocabulary
Scientific Fields
Repository
Basic Info
- Host: GitHub
- Owner: chungdungco
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 2.32 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
**|** ⏳[TODO List](https://github.com/xinntao/BasicSR/projects) **|** ❓[FAQ](docs/FAQ.md)
🚀 We add BasicSR-Examples, which provides guidance and templates of using BasicSR as a python package. 🚀
📢 技术交流QQ群：320960100 入群答案：互帮互助共同进步
🧭 入群二维码 (QQ、微信) 入群指南 (腾讯文档)
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)
⚡ 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.
More details about license and acknowledgement are in LICENSE.
🌏 Citations
If BasicSR helps your research or work, please cite BasicSR.
The following is a BibTeX reference. The BibTeX entry requires the url LaTeX package.
latex
@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.
- 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)
Owner
- Name: cdcoone
- Login: chungdungco
- Kind: user
- Repositories: 1
- Profile: https://github.com/chungdungco
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this project, please cite it as below."
title: "BasicSR: Open Source Image and Video Restoration Toolbox"
version: 1.3.5
date-released: 2022-02-16
url: "https://github.com/XPixelGroup/BasicSR"
license: Apache-2.0
authors:
- family-names: Wang
given-names: Xintao
- family-names: Xie
given-names: Liangbin
- family-names: Yu
given-names: Ke
- family-names: Chan
given-names: Kelvin C.K.
- family-names: Loy
given-names: Chen Change
- family-names: Dong
given-names: Chao
GitHub Events
Total
- Push event: 1
- Create event: 2
Last Year
- Push event: 1
- Create event: 2
Dependencies
- Pillow *
- addict *
- future *
- lmdb *
- numpy *
- opencv-python *
- pyyaml *
- recommonmark *
- requests *
- scikit-image *
- scipy *
- sphinx *
- sphinx_intl *
- sphinx_markdown_tables *
- sphinx_rtd_theme *
- tb-nightly *
- torch >=1.7
- torchvision *
- tqdm *
- yapf *
- Pillow *
- addict *
- future *
- lmdb *
- numpy >=1.17
- opencv-python *
- pyyaml *
- requests *
- scikit-image *
- scipy *
- tb-nightly *
- torch >=1.7
- torchvision *
- tqdm *
- yapf *