1
Return

TSPFusion:Text-guided semantic perception for infrared and visible image fusion

delete2025-12-17
delete0
PRE
AI
X
Xiangyu Qin
E
Enlong Wang
S
Shihua Zhou *
B
Bin Wang *
N
Nikola Kasabov
DOI：10.1016/j.infrared.2025.106324delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• We emphasize the practical value of image fusion. • Object-level prompts support text-guided accurate and consistent image fusion. • Carefully designed modules ensure enhanced fusion quality. • Comprehensive experiments demonstrate the superiority of our method.

Journal

I
Infrared Physics and Technology
IF:
3.4
Papers:
5.8K
Citations:
1.2W

Organization

D
Dalian University
Scholars:
3.2K
Papers: 1.8K
Citations: 2.2W
A
Auckland University of Technology
Scholars:
4.0K
Papers: 4.4K
Citations: 4.7K
U
university of science and technology beijing
Scholars:
1.1W
Papers: 4.0K
Citations: 2
Cited Papers

Cited Papers

Citing Papers

Citing Papers