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[TCSVT] Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis

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GuidedHybSensUIR

Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis

Xiaojiao Guo 👨‍💻‍ , Xuhang Chen 👨‍💻‍ , Shuqiang Wang 📮 , Chi-Man Pun 📮 ( 👨‍💻‍ Equal contributions, 📮 Corresponding author)

University of Macau, SIAT CAS, Huizhou Univeristy, Baoshan Univeristy

In IEEE Transactions on Circuits and Systems for Video Technology

🔮 Benchmark Dataset

Kaggle

If you need visualization results, you may contact Dr.Guo via [email protected]

⚙️ Usage

Training

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.

Inference

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

python infer.py

Citation