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SnapPhysics: A Physics-Aware Scene Graph from a Single View for Interactive Mixed Reality Scenes

arXiv · AI, language, vision and robotics · article · Sep 17, 2026 · UTC

We propose SnapPhysics, a training-free framework that reconstructs 3D objects and estimates their physical properties such as mass, friction, and center of gravity from a single image. For physically coherent interactions in mixed reality (MR), such properties are as important as geometry. Prior approaches infer them by analyzing object dynamics in video, which is computationally costly, or by querying vision-language models (VLMs) on single images, which lacks geometric grounding and inter-object relationships. We address these limitations by combining instance-level 3D reconstruction and sp

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