We introduce a bicycle design benchmark that evaluates multiphysics performance, constraint satisfaction, and adherence to human preferences, and we benchmark LLMs, tabular generative models, and design optimization algorithms side by side.

We propose a novel CAD reverse engineering method that mimics human design workflows by using multi-plane 2D cross-sections to reconstruct detailed, editable, and fully parametric CAD models.