SOURCE-LINKED INTELLIGENCE
SNAP3D: Physically Grounded 3D Parts for Assembly from a Single Image
Part-aware 3D asset generation enables applications such as editing, articulation, simulation, and fabrication, yet existing methods can generate visually complete individual parts without ensuring that they form a valid physical assembly. Consequently, generated neighboring parts may interpenetrate, lack valid connections, or collapse under gravity. We propose a physics-guided framework for improving single-image part-aware 3D generation with physically compatible geometry and stable connections. Our method resolves inter-part penetration, recovers a contact graph between neighboring parts, a
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-11T17:59:31.000Z
First collected: 2026-09-20T16:41:15.630Z. This is not the publication date.