PMGI_AAAI2020

Code for paper Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity. This work uses the same network structure and the same form of loss function to realize infrared and visible image fusion, multi-exposure image fusion, medical image fusion, multi-focus image fusion and Pan-sharpening. The all dataset can be found at https://drive.google.com/file/d/1acad2moPxvSVNCyHOeEDO3qbL_KveQOP/view?usp=sharing.

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

@inproceedings{zhang2020rethinking,
  title={Rethinking the image fusion: A fast unified image fusion network based on proportional maintenance of gradient and intensity},
  author={Zhang, Hao and Xu, Han and Xiao, Yang and Guo, Xiaojie and Ma, Jiayi},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={34},
  number={07},
  pages={12797--12804},
  year={2020}
}