GFN-IJCV

"Gated Fusion Network for Degraded Image Super Resolution" by Xinyi Zhang*, Hang Dong*, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang(Accpeptd by IJCV, first two authors contributed equally).

[arXiv]

You can find our pervious conference version on Project Website : http://xinyizhang.tech/bmvc2018.

Dependencies

• Python 3.6
• PyTorch >= 0.4.0
• torchvision
• numpy
• skimage
• h5py
• MATLAB

Super-resolving non-uniform blurry images

1. Git clone this repository.

$git clone https://github.com/BookerDeWitt/GFN-IJCV
$cd GFN-IJCV/DBSR

2. Download the trained model GFN_G3D_4x.pkl from here, then unzip and move the GFN_G3D_4x.pkl to GFN-IJCV/DBSR/models folder.

3. Then, you can follow the instructions Here to test and train our network with our latest code and pre-trained model

Super-resolving non-uniform hazy images

Citation

If you use these models in your research, please cite:

@article{GFN_IJCV,
	author = {Xinyi, Zhang and Hang, Dong and Zhe, Hu and Wei-Sheng, Lai and Fei, Wang and Ming-Hsuan, Yang},
	title = {Gated Fusion Network for Degraded Image Super Resolution},
	journal={International Journal of Computer Vision},
	year = {2020}
pages={1 - 23}
}

@inproceedings{GFN_BMVC,
title = {Gated Fusion Network for Joint Image Deblurring and Super-Resolution},
	author = {Xinyi, Zhang and Hang, Dong and Zhe, Hu and Wei-Sheng, Lai and Fei, Wang and Ming-Hsuan, Yang},
	booktitle = {BMVC},
	year = {2018}
}