2026
RIS-FUSION: RETHINKING TEXT-DRIVEN INFRARED AND VISIBLE IMAGE FUSION FROM THE PERSPECTIVE OF REFERRING IMAGE SEGMENTATION
ICASSP 2026oral
Text-driven infrared and visible image fusion has gained attention for enabling natural language to guide the fusion process. However, existing methods lack a goal-aligned task to supervise and evaluate how effectively the input text contributes to the fusion outcome. We observe that referring image…