AI RESEARCH
Geo$^\textbf{2}$: Geometry-Guided Cross-view Geo-Localization and Image Synthesis
arXiv CS.CV
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ArXi:2603.25819v1 Announce Type: new Cross-view geo-spatial learning consists of two important tasks: Cross-View Geo-Localization (CVGL) and Cross-View Image Synthesis (CVIS), both of which rely on establishing geometric correspondences between ground and aerial views. Recent Geometric Foundation Models (GFMs) have nstrated strong capabilities in extracting generalizable 3D geometric features from images, but their potential in cross-view geo-spatial tasks remains underexplored.