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MAIS, Institute of Automation of Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences
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Unlock geometric reasoning in MLLMs by parsing diagrams into a unified formal language that spans both 2D and 3D geometry.
By converting point clouds into a format VLMs can understand, VLM-Loc significantly boosts text-to-point-cloud localization accuracy, outperforming prior methods that rely on shallower text-point cloud correspondences.
