Vitruvion: A Generative Model of Parametric CAD Sketches

Understand

Parametric computer-aided design (CAD) tools are the predominant way that engineers specify physical structures, from bicycle pedals to airplanes to printed circuit boards.

• The key characteristic of parametric CAD is that design intent is encoded not only via geometric primitives, but also by parameterized constraints between the elements.
• This relational specification can be viewed as the construction of a constraint program, allowing edits to coherently propagate to other parts of the design.
• Machine learning offers the intriguing possibility of accelerating the design process via generative modeling of these structures, enabling new tools such as autocompletion, constraint inference, and conditional synthesis.