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This is official repository for "LIR: Efficient Degradation Removal for Lightweight Image Restoration"

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// repository documentation

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# LIR: A Lightweight Baseline for Image Restoration

[Dongqi Fan](https://scholar.google.com.hk/citations?user=P7gt5XYAAAAJ&hl=zh-CN), Ting Yue, [Xin Zhao](https://scholar.google.com.hk/citations?user=iO2dQW4AAAAJ&hl=zh-CN), [Renjing Xu](https://scholar.google.com.hk/citations?user=Mu__bJEAAAAJ&hl=zh-CN&oi=ao), and [Liang Chang](https://scholar.google.com.hk/citations?hl=zh-CN&user=5pWnfJcAAAAJ)

## Visual results and weight files

All visual results and weight files can be found in: https://pan.baidu.com/s/1_QcXwyOxRm_Zvy0nSpgSNQ?pwd=vpx1 CODE：vpxl

## How to use

Please refer to the docs in [BasicSR](https://github.com/xinntao/BasicSR), the detail of datasets preparation, training and testing are provided.

## **Acknowledgment**

This project is based on the [BasicSR](https://github.com/xinntao/BasicSR). Thanks for his outstanding contribution.

## Contact

If you have any questions, please contact dongqifan@std.uestc.edu.cn.

## Citation

If you find our idea and code helpful, please cite our work.

LIR

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