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Dual-domain strip attention for image restoration

Yuning Cui, Alois Knoll

Installation

The project is built with PyTorch 3.8, PyTorch 1.8.1. CUDA 10.2, cuDNN 7.6.5 For installing, follow these instructions:

conda install pytorch=1.8.1 torchvision=0.9.1 -c pytorch
pip install tensorboard einops scikit-image pytorch_msssim opencv-python

Install warmup scheduler:

cd pytorch-gradual-warmup-lr/
python setup.py install
cd ..

Pre-trained models here

Results (DSANet)

Task Dataset PSNR SSIM
Image Dehazing ITS 41.36 0.997
OTS 38.39 0.995
Dense-Haze 16.70 0.607
NH-HAZE 20.51 0.801
O-HAZE 25.79 0.94
NH-HAZE2 21.63 0.841
NHR 28.08 0.978
Image Desnowing CSD 38.09 0.99
SRRS 31.97 0.98
Snow100K 33.70 0.95

Citation

If you find this project useful for your research, please consider citing:

@article{cui2024dual,
  title={Dual-domain strip attention for image restoration},
  author={Cui, Yuning and Knoll, Alois},
  journal={Neural Networks},
  volume={171},
  pages={429--439},
  year={2024},
  publisher={Elsevier}
}

Contact

Should you have any question, please contact Yuning Cui.