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Unleashing geospatial reasoning on a torrent of unlabeled remote sensing data, RemoteZero rivals supervised methods by having models verify their own reasoning, not relying on human-annotated coordinates.
LLMs can reason more effectively and efficiently by internalizing tool knowledge, eliminating the need for external documentation and reducing inference costs.
By cleverly turning novel view synthesis into a self-supervised inpainting problem, VisionNVS eliminates the need for ground truth images of novel views, outperforming LiDAR-dependent baselines.
