paper, supplementary material, visual results, and models can be found here
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 ..
Computational complexity: for dehazing 41.19 GFLOPs, 4.27M
@inproceedings{cui2024hybrid,
title={Hybrid Frequency Modulation Network for Image Restoration},
author={Cui, Yuning and Liu, Mingyu and Ren, Wenqi and Knoll, Alois},
booktitle={International Joint Conference on Artificial Intelligence},
year={2024}
}
Should you have any question, please contact Yuning Cui.
