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[DSAA 2024] UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement

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Yingtie Lei 👨‍💻‍ , Jia Yu 👨‍💻‍ , Yihang Dong , Changwei Gong , Ziyang Zhou , Chi-Man Pun📮 (👨‍💻‍ Equal contributions, 📮 Corresponding Author)
University of Macau, Huizhou University, SIAT CAS

In Computational Imaging, Vision, and Language (CIVIL) @ IEEE International Conference on Data Science and Advanced Analytics 2024 (CIVIL @ DSAA 2024)

⚙️ Usage

Training

Please first specify TRAIN_DIR, VAL_DIR and SAVE_DIR in 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 on the usage of accelerate, please refer to Accelerate.

Inference

Please first specify TRAIN_DIR, VAL_DIR and SAVE_DIR in section TESTING in traning.yml

python test.py

💗 Acknowledgements

This work was supported by the Science and Technology Development Fund, Macau SAR, under Grant 0141/2023/RIA2 and 0193/2023/RIA3.

🛎 Citation

If you find our work helpful for your research, please cite:

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[DSAA 2024] UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement

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