Model Zoo

Baidu Cloud Extraction code is 6666

UIEC^2-Net

Paper: UIEC^ 2-Net: CNN-based Underwater Image Enhancement Using Two Color Space. [arxiv]

Source Code: https://github.com/BIGWangYuDong/UWEnhancement

@article{wang2021uiec,
title = {UIEC\^{}2-Net: CNN-based underwater image enhancement using two color space},
journal = {Signal Processing: Image Communication},
volume = {96},
pages = {116250},
year = {2021},
issn = {0923-5965},
doi = {https://doi.org/10.1016/j.image.2021.116250},
url = {https://www.sciencedirect.com/science/article/pii/S0923596521001004},
author = {Yudong Wang and Jichang Guo and Huan Gao and Huihui Yue},
}

Name	Google Drive	Baidu Cloud
UIEC^2-Net	UIEC^2-Net	UIEC^2-Net

UWCNN

Paper: “Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement”, Pattern Recognition, 2019. [arxiv].

Source Code : https://github.com/saeed-anwar/UWCNN

@article{li2020underwater,
  title={Underwater scene prior inspired deep underwater image and video enhancement},
  author={Li, Chongyi and Anwar, Saeed and Porikli, Fatih},
  journal={Pattern Recognition},
  volume={98},
  pages={107038},
  year={2020},
  publisher={Elsevier}
}

Type	Google Drive	Baidu Cloud
type-1	type-1	type-1
type-3	type-3	type-3
type-5	type-5	type-5
type-7	type-7	type-7
type-9	type-9	type-9
type-I	type-I	type-I
type-II	type-II	type-II
type-III	type-III	type-III

Water-Net

Paper: An Underwater Image Enhancement Benchmark Dataset and Beyond IEEE TIP 2019 [arxiv].

Source Code : https://github.com/Li-Chongyi/Water-Net_Code

@article{li2019underwater,
  title={An underwater image enhancement benchmark dataset and beyond},
  author={Li, Chongyi and Guo, Chunle and Ren, Wenqi and Cong, Runmin and Hou, Junhui and Kwong, Sam and Tao, Dacheng},
  journal={IEEE Transactions on Image Processing},
  volume={29},
  pages={4376--4389},
  year={2019},
  publisher={IEEE}
}

Name	Google Drive	Baidu Cloud
Water-Net	Water-Net	Water-Net