Hao Zhang

Multi-modal image fusion has long traded visual quality against semantic attributes because the two optimization goals conflict. AD-SRF separates them: a transformer-based restorative visual fusion network builds a clear baseline, then an attack-defense game has an attacker mine semantic weaknesses while a defender generates an imperceptible semantic map overlaid back onto the fused image. On MFNet and FMB, it ranks first in four and five of six visual metrics, with segmentation mIoU 1.5 and 1.73 above the runner-up.

Multi-modal image fusion has long traded visual quality against semantic attributes because the two optimization goals conflict. AD-SRF separates them: a transformer-based restorative visual fusion network builds a clear baseline, then an attack-defense game has an attacker mine semantic weaknesses while a defender generates an imperceptible semantic map overlaid back onto the fused image. On MFNet and FMB, it ranks first in four and five of six visual metrics, with segmentation mIoU 1.5 and 1.73 above the runner-up.