Underwater Image Restoration via Polymorphic Large Kernel CNNs
University of Macau, SIAT CAS, Huizhou Univeristy, Shenzhen Polytechnic University, The Hong Kong University of Science and Technology (Guangzhou), Baoshan Univeristy
In IEEE International Conference on Acoustics, Speech, and Signal Processing 2025 (ICASSP 2025)
You may download the dataset first, and then specify TRAIN_DIR, VAL_DIR and SAVE_DIR in the section TRAINING in config.yml
.
For single GPU training:
python train.py
For multiple GPUs training:
accelerate config
accelerate launch train.py
If you have difficulties with the usage of accelerate
, please refer to Accelerate.
Please first specify TRAIN_DIR, VAL_DIR and SAVE_DIR in section TESTING in config.yml
.
python test.py
@inproceedings{guo2025underwater,
title={Underwater Image Restoration via Polymorphic Large Kernel CNNs},
author={Guo, Xiaojiao and Dong, Yihang and Chen, Xuhang and Chen, Weiwen and Li, Zimeng and Zheng, FuChen and Pun, Chi-Man},
booktitle={ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={1--5},
year={2025},
organization={IEEE}
}