PhysX-CoT: Structured Physical Reasoning from a Single Image to Simulation-Ready 3D Assets
Simulation-ready 3D assets are central to robotics and embodied AI. Generating them from a single image is usually framed as a vision-language model that emits a serialized asset for a decoder to turn into geometry and physical fields, leaving the image-to-3D reasoning implicit. We argue the limiting factor is this output-centric view: part placement and local shape are entangled in one global-coordinate token stream, and the intermediate physical states are never exposed for supervision, conditioning, or verification. PhysX-CoT instead casts single-image asset generation as an explicit structured physical reasoning process, an ordered and machine-parseable trajectory of part-level states...
| Authors | Jie Huang, Xiaohe Li, Jiahao Li et al. |
|---|---|
| Primary category | cs.RO |
| Published | 8 August 2026 |
| Last updated at source | 8 August 2026 |
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