5 papers across 3 sessions
We introduce neural approximation frameworks for approximating a family of geometric shape-fitting problems.
AutoHood3D is a multi‑modal dataset of automotive hood variants—combining FSI simulations, STL meshes, natural‑language prompts, and standardized ML benchmarks—for generative engineering design and surrogate modeling.