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WorldSculpt: Generating Compositional Worlds from Grounded Videos

Paper recorded by Signals 4 on 2026-09-04 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-04 on arXiv · recorded by Signals 4 on 2026-09-07

Category: cs.CV · 计算机视觉 · first seen 2026-09-07

Abstract

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 occ

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#128 most recent of 237 cs.CV papers we have recorded · ↑ newer: Medical AI Encodes a "Feeling of Error": Verifying Cancer Segmentation · ↓ older: A Generalizable Feature Extractor for Alzheimer's-Related Brain MRI Ta
Cite this page: WorldSculpt: Generating Compositional Worlds from Grounded Videos: the #128 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/worldsculpt-generating-compositional-worlds-from-grounded-videos.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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