AI RESEARCH

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion

arXiv CS.CV

ArXi:2507.23508v2 Announce Type: replace Image fusion synthesizes complementary information from multiple sources, mitigating the inherent limitations of unimodal imaging systems. Accurate image registration is essential for effective multi-source data fusion. However, existing registration methods, often based on image translation in Euclidean space, fail to handle cross-modal misalignment effectively, resulting in suboptimal alignment and fusion quality.