AI RESEARCH
EarthBridge: A Solution for 4th Multi-modal Aerial View Image Challenge Translation Track
arXiv CS.CV
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ArXi:2603.06753v1 Announce Type: new Cross-modal image-to-image translation among Electro-Optical (EO), Infrared (IR), and Synthetic Aperture Radar (SAR) sensors is essential for comprehensive multi-modal aerial-view analysis. However, translating between these modalities is notoriously difficult due to their distinct electromagnetic signatures and geometric characteristics. This paper presents \textbf{EarthBridge}, a high-fidelity translation framework developed for the 4th Multi-modal Aerial View Image Challenge -- Translation (MAVIC-T