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Paper · arXiv

Text2Sim: Agentic Physics-Based Simulation Generation with Distilled Expertise

Creating diverse physical simulations remains labor-intensive because assets, layout, physical parameters, motion, control, and rendering must be designed and debugged jointly. We present Text2Sim, a simulation-specialized agentic pipeline that converts a text-only request into an executable, editable dynamic case. Built on Genesis, Text2Sim uses a hierarchical agentic structure that combines a Planner with specialized Writers, asset-generation tools, and an independent Critic. Compact skills (Debug Cards) distilled from graphics demonstrations provide role-specific physical guidance for execution-based repair. We evaluate physical quality, visual quality, and human preference on 42 held-...

AuthorsXiaoyu Xiong, Tsun-Hsuan Wang, Yi-Ling Qiao et al.
Primary categorycs.GR
Published29 September 2026
Last updated at source30 September 2026
cs.GRcs.AI
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