Building LEGO Using Deep Generative Models of Graphs

Understand

Generative models are now used to create a variety of high-quality digital artifacts.

• Yet their use in designing physical objects has received far less attention.
• In this paper, we advocate for the construction toy, LEGO, as a platform for developing generative models of sequential assembly.
• We develop a generative model based on graph-structured neural networks that can learn from human-built structures and produce visually compelling designs.