The question of how methods from the field of artificial intelligence can help improve the
conventional frameworks for topology optimisation has received increasing attention over …

In additive manufacturing (AM), intelligent technologies are proving to be a powerful tool for
facilitating economic, efficient, and effective decision-making within the product and service …

We introduce ABC-Dataset, a collection of one million Computer-Aided Design (CAD)
models for research of geometric deep learning methods and applications. Each model is a …

Parametric computer-aided design (CAD) is a standard paradigm used to design
manufactured objects, where a 3D shape is represented as a program supported by the …

An e-graph efficiently represents a congruence relation over many expressions. Although
they were originally developed in the late 1970s for use in automated theorem provers, a …

CAD modeling, despite being the industry-standard, remains restricted to usage by skilled
practitioners due to two key barriers. First, the user must be able to mentally parse a final …

Fitting geometric primitives to 3D point cloud data bridges a gap between low-level digitized
3D data and high-level structural information on the underlying 3D shapes. As such, it …

This paper presents BrepGen, a diffusion-based generative approach that directly outputs a
Boundary representation (B-rep) Computer-Aided Design (CAD) model. BrepGen …

We present a neural architecture that takes as input a 2D or 3D shape and outputs a
program that generates the shape. The instructions in our program are based on …

Manually authoring 3D shapes is difficult and time consuming; generative models of 3D
shapes offer compelling alternatives. Procedural representations are one such possibility …