AI RESEARCH
Fusion in Your Way: Aligning Image Fusion with Heterogeneous Demands via Direct Preference Optimization
arXiv CS.CV
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ArXi:2605.06049v1 Announce Type: new As a key technique in multi-modal processing, infrared and visible image fusion (IVIF) plays a crucial role in integrating complementary spectral information for visual enhancement and downstream vision tasks. Despite remarkable progress, existing methods struggle to flexibly accommodate heterogeneous demands. Achieving adaptive fusion that aligns with various preferences from both human and machine vision remains an open and challenging problem.