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Johns Hopkins University Abstract Aligning ground-level imagery with geo-registered satellite maps is crucial for mapping, navigation, and situational awareness, yet remains challenging under large viewpoint gaps or when GPS is unreliable. We introduce Wrivinder, a zero-shot, geometry-driven framework that aggregates multiple ground photographs to reconstruct a consistent
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Imagine a world where AI can simulate tumor growth under different treatments, helping doctors choose the best plan – this paper makes that vision a reality with a medical world model that outperforms even specialized GPTs.
