CMTFusion

Seonghyun Park, An Gia Vien, and Chul Lee

Official pytorch implementation for "Cross-Modal Transformers for Infrared and Visible Image Fusion"

  

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
• M3FD dataset: 300 image pairs

Pretrained weights: Download from GoogleDrive

The ZIP file contains pretrained weight file

Citation

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

@article{park2023_CMTFusion,
  title={Cross-Modal Transformers for Infrared and Visible Image Fusion},
  author={Park, Seonghyun and Vien, An Gia and Lee, Chul},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2023},
  volume={},
  number={},
  pages={},
  doi={10.1109/TCSVT.2023.3289170}}

License

See MIT License