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[CVPR 2023] Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement (Paper)
Yuhui Wu, Chen Pan, Guoqing Wang*, Yang Yang, Jiwei Wei, Chongyi Li, Heng Tao Shen (*Corresponding Author)
University of Electronic Science and Technology of China (UESTC)
[TPAMI 2024] Towards a Flexible Semantic Guided Model for Single Image Enhancement and Restoration (Paper)
Introduction
This repository is the official implementation of the paper, "Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement", where more implementation details are presented.
Motivation and Superiority
Overall
Dataset
You can refer to the following links to download the datasets:
LOL: Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu. "Deep Retinex Decomposition for Low-Light Enhancement", BMVC, 2018. [Baiduyun (extracted code: sdd0)] [Google Drive] <br> LOL-v2 (the extension work): Wenhan Yang, Haofeng Huang, Wenjing Wang, Shiqi Wang, and Jiaying Liu. "Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement", TIP, 2021. [Baiduyun (extracted code: l9xm)] [Google Drive] <br> <br>
Results
The evaluation results on LOL are as follows:
Method | PSNR | SSIM | LPIPS | Method | PSNR | SSIM | LPIPS |
---|---|---|---|---|---|---|---|
RetinexNet | 16.770 | 0.462 | 0.474 | HWMNet | 24.240 | 0.852 | 0.114 |
RetinexNet-SKF | 20.418 | 0.711 | 0.216 | HWMNet-SKF | 25.086 | 0.860 | 0.108 |
KinD | 20.870 | 0.799 | 0.207 | SNR-LLIE-Net | 24.608 | 0.840 | 0.151 |
KinD-SKF | 21.913 | 0.835 | 0.143 | SNR-LLIE-Net-SKF | 25.031 | 0.855 | 0.113 |
DRBN | 19.860 | 0.834 | 0.155 | LLFlow-S | 24.060 | 0.860 | 0.136 |
DRBN-SKF | 22.837 | 0.841 | 0.138 | LLFlow-S-SKF | 25.942 | 0.865 | 0.125 |
KinD++ | 18.970 | 0.804 | 0.175 | LLFlow-L | 24.999 | 0.870 | 0.117 |
KinD++-SKF | 20.363 | 0.805 | 0.201 | LLFlow-L-SKF | 26.798 | 0.879 | 0.105 |
Test and Train
More details can be found in the subfolder of each baseline.
Citation
If you find our work useful for your research, please cite our paper
@inproceedings{wu2023skf,
title={Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement},
author={Yuhui, Wu and Chen, Pan and Guoqing, Wang and Yang, Yang and Jiwei, Wei and Chongyi, Li and Heng Tao Shen},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={},
year={2023}
}
@ARTICLE{wu2024skfplus,
author={Wu, Yuhui and Wang, Guoqing and Liu, Shaochong and Yang, Yang and Li, Wei and Tang, Xiongxin and Gu, Shuhang and Li, Chongyi and Shen, Heng Tao},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={Towards a Flexible Semantic Guided Model for Single Image Enhancement and Restoration},
year={2024},
volume={},
number={},
pages={1-18},
keywords={Semantics;Task analysis;Image color analysis;Histograms;Image enhancement;Visualization;Training;Low-level vision;Low-light image enhancement;semantic guidance;region-aware color constraints},
doi={10.1109/TPAMI.2024.3432308}}
Contact
If you have any questions, please feel free to contact us via wuyuhui132@gmail.com or panchen0103@gmail.com.