SOURCE-LINKED INTELLIGENCE
WorldSculpt: Generating Compositional Worlds from Grounded Videos
We study the problem of generating a compositional 3D representation of a cluttered scene containing hundreds of objects. The goal is to represent the scene as a collection of individual object meshes placed in a shared world frame, as required by downstream applications such as gaming, AR/VR, simulation, and robotics. This task is challenging in densely cluttered scenes, where objects heavily occlude one another and each view reveals only a fraction of their geometry. Geometry-based approaches typically reconstruct the scene as a single representation and leave incomplete geometry in occluded
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-04T17:59:35.000Z
First collected: 2026-09-20T21:52:07.471Z. This is not the publication date.