MPFusion

Seonghyun Park and Chul Lee

Official pytorch implementation for "Multiscale Progressive Fusion of Infrared and Visible Images"

  

Preparation

Testing samples: Download from GoogleDrive

The ZIP file contains three test datasets:

• KAIST dataset: 200 image pairs
• TNO dataset: 20 image pairs
• RoadScene dataset: 221 image pairs

Pretrained weights: Download from GoogleDrive

The ZIP file contains two pretrained weights:

• IR_Net_model.pth: pretrained weight of IRNet
• Fusion_Net_model.pth: pretrained weight of FusionNet

Citation

If you find this work useful for your research, please consider citing our paper:

@article{Park2022,
    author={Park, Seonghyun and Lee, Chul},
    booktitle={IEEE Access},
    title={Multiscale Progressive Fusion of Infrared and Visible Images}, 
    year={2022},
    volume={10},
    number={},
    pages={126117-126132},
    doi={10.1109/ACCESS.2022.3226564}}
}

License

See MIT License