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[ACM MM 2022] This is the official code for the paper "ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement"

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ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement, ACM MM 2022

[Paper]

Codes

Requirements

  • python==3.7
  • pytorch==1.7.1
  • torchvision==0.8.2
  • torchsummaryx==1.3.0
  • kornia==0.5.0
  • pillow==9.0.1

Dataset used in the paper

Training

python runLOL.py --gpu_id 1 --num_orders 6 --config configs/LOL;

Testing

python test_one_image.py --img_path TSET_IMG_PATH/test_image.png

Citation

@inproceedings{chebylighter_2022_ACMMM,
author = {Pan, Jinwang and Zhai, Deming and Bai, Yuanchao and Jiang, Junjun and Zhao, Debin and Liu, Xianming},
title = {ChebyLighter: Optimal Curve Estimation for Low-Light Image Enhancement},
year = {2022},
publisher = {Association for Computing Machinery},
url = {https://doi.org/10.1145/3503161.3548135},
pages = {1358–1366},
numpages = {9},
series = {MM '22}
}

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[ACM MM 2022] This is the official code for the paper "ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement"

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