| title | WorldClaw: Agentic 3D Open-World Generation at Scale |
|---|---|
| authors | Chunchao Guo, Jinpeng Li, Yang Li, Zilong Huang |
| date | 2026-08-05 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2608.05248 |
| affiliation | Tencent Hunyuan |
| upvotes | 66 (Hugging Face Daily Papers, 2026-11-01) |
| links | abs pdf hf |
| abstract | Generating large-scale, freely explorable 3D worlds from open-ended text remains challenging because a system must jointly maintain global spatial coherence, rich local content, and explicit assets suitable for downstream editing and reuse. We present WorldClaw, a fully agentic, coarse-to-fine framework for open-world 3D scene generation. Planning agents translate a text prompt into a structured specification of regions, terrain, assets, materials, and spatial relations. WorldClaw then builds a globally coherent terrain foundation from semantic layouts, reusable assets, generative or procedural materials, and a region-aware height field. For detail-demanding regions, it generates terrain-conditioned compositions, reconstructs editable textured meshes, and recovers their placement on the terrain; render-based agents further refine terrain, objects, appearance, and contacts. Across diverse open-world prompts, WorldClaw produces large-scale scenes with coherent spatial organization, visually compelling local content, and editable instance-level assets while preserving a consistent global terrain structure. |
cite
@misc{guo2026worldclaw,
title={WorldClaw: Agentic 3D Open-World Generation at Scale},
author={Chunchao Guo and Jinpeng Li and Yang Li and Zilong Huang},
year={2026},
eprint={2608.05248},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2608.05248}
}