FreqGAN: Infrared and Visible Image Fusion via Unified Frequency Adversarial Learning

Zhishe Wang,Zhuoqun Zhang,Wuqiang Qi,Fengbao Yang,Jiawei Xu

paper

Platform

Python 3.7

Pytorch >=1.6.0

Training Dataset

TNO is utilized to train our network.

Ciation

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

@ARTICLE{10680110,
  author={Wang, Zhishe and Zhang, Zhuoqun and Qi, Wuqiang and Yang, Fengbao and Xu, Jiawei},
  journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
  title={FreqGAN: Infrared and Visible Image Fusion via Unified Frequency Adversarial Learning}, 
  year={2024},
  volume={},
  number={},
  pages={1-1},
  keywords={Image fusion;Generators;Feature extraction;Frequency-domain analysis;Frequency control;Discrete wavelet transforms;Transformers;image fusion;wavelet transformation;hybrid frequency aggregation;generative adversarial network},
  doi={10.1109/TCSVT.2024.3460172}}

If you have any question, please email to me (wangzs@tyust.edu.cn or zhuoqunzhang001@163.com).