RWKVFusion [TPAMI 2025]
Zihan Cao |
Yu-Jie Liang |
Liang-Jian Deng |
Gemine Vivone
University of Electronic Science and Technology of China (UESTC)
Institute of Methodologies for Environmental Analysis, CNR-IMAA
Official pre-processed dataset of Unify language and mask guidance in an efficient network (TPAMI).
This dataset contains general image fusion task:
- Pansharpening: WV3, GF2, QB (Raw dataset at Pan-Collection).
- Hyperspectral and multispectral image fusion: Cheikusei, Pavia (Raw dataset at PSRT).
- Multi-exposure image fusion: MEFB, SICE.
- Multi-focus image fusion: RealMFF, WHU-WFI, Lytro.
If you find this work useful, please kindly cite our paper:
@ARTICLE{RWKVFusion,
author={Cao, Zi-Han and Liang, Yu-Jie and Deng, Liang-Jian and Vivone, Gemine},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={An Efficient Image Fusion Network Exploiting Unifying Language and Mask Guidance},
year={2025},
volume={},
number={},
pages={1-18},
doi={10.1109/TPAMI.2025.3591930}
}
If you have any questions, please contact me: iamzihan666@gmail.com