SpatialASM Framework for Active Spatial Mentalization
October 8, 2026
SpatialASM enables Large Vision-Language Models to perform Active Spatial Mentalization by training them to simulate hypothetical viewpoints. The framework uses an allocentric novel-view generator to teach models when and how to adaptively revisit scenes.
HOW THIS AFFECTS YOU
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builderThis could significantly improve the performance of VLMs in complex 3D environments and spatial tasks.
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researcherThis introduces a new training method for internalizing spatial reasoning via simulation.