U2Fusion

Code of U2Fusion: a unified unsupervised image fusion network for multiple image fusion tasks, including multi-modal (VIS-IR, medical), multi-exposure and multi-focus image fusion.

Tips:

Large files should be downloaded separately, including the following files:

For training:

• Training dataset
  The code to create your own training dataset can be found here.
• vgg16 (put it in 'VGGnet/')
  

Dealing with RGB input:

• Refer to this code.
  

The PyTorch version of this work is available here.

If this work is helpful to you, please cite it as:

@article{xu2020u2fusion,
  title={U2Fusion: A unified unsupervised image fusion network},
  author={Xu, Han and Ma, Jiayi and Jiang, Junjun and Guo, Xiaojie and Ling, Haibin},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={44},
  number={1},
  pages={502--518},
  year={2022},
  publisher={IEEE}
}

If you have any question, please email to me (xu_han@whu.edu.cn).