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SceneRig: An Agentic System for Simulation-Ready 3D Scene Reconstruction from Single Images

Paper recorded by Signals 4 on 2026-10-20 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-20 on arXiv · recorded by Signals 4 on 2026-10-21

Category: cs.AI · 人工智能 · first seen 2026-10-21

Abstract

Simulation is a powerful tool for robotics, but building diverse, simulation-ready scenes at scale remains difficult. Reconstructing scenes from single images is a promising alternative, but visual similarity alone is insufficient: objects must also be recovered, accurately placed, and physically grounded. Existing methods that rely on post-hoc physics settling often misplace objects, producing sc

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#234 most recent of 960 cs.AI papers we have recorded · ↑ newer: Capable Teacher, Myopic Scorer: Reward-Free Teacher Repair for Agentic · ↓ older: Beyond the Sequentiality Bottleneck: A Hybrid Diffusion-Autoregressive
Cite this page: SceneRig: An Agentic System for Simulation-Ready 3D Scene Reconstruction from Single Images: the #234 most recent of 960 cs.AI papers we have recorded (as of 2026-10-20). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/scenerig-an-agentic-system-for-simulation-ready-3d-scene-reconstruction-from-sin.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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