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arXiv · 2010.02392

Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences

Karl D. D. Willis·Yewen Pu·Jieliang Luo·Hang Chu·Tao Du·Joseph G. Lambourne·Armando Solar-Lezama·Wojciech Matusik
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Abstract

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 CAD software. Despite the pervasiveness of parametric CAD and a growing interest from the research community, currently there does not exist a dataset of realistic CAD models in a concise programmatic form. In this paper we present the Fusion 360 Gallery, consisting of a simple language with just the sketch and extrude modeling operations, and a dataset of 8,625 human design sequences expressed in this language. We also present an interactive environment called the Fusion 360 Gym, which exposes the sequential construction of a CAD program as a Markov decision process, making it amendable to machine learning approaches. As a use case for our dataset and environment, we define the CAD reconstruction task of recovering a CAD program from a target geometry. We report results of applying state-of-the-art methods of program synthesis with neurally guided search on this task.

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Karl D. D. Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik. 2020-10-05. Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences. https://arxiv.org/abs/2010.02392

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