Pytorch implementation of Deep Color Consistent Network for Low Light-Image Enhancement. Note that we do some adjustments to the model for flexibility. Please refer to the code for more detailes.
- Python 3.6
- Pytorch 1.3.0
- torchvision 0.4.1
- cuda 11.4
python test.py --filepath img_path --pretrain_path model_path
python metrics.py --data-path gt_path --output-path pre_img_path
@inproceedings{zhang2022deep,
title={Deep Color Consistent Network for Low-Light Image Enhancement},
author={Zhao Zhang, Huan Zheng, Richang Hong, Mingliang Xu, Shuicheng Yan and Meng Wang},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2022}
}