Abstract
Parametric computer-aided design (CAD) is a standard paradigm used for the
design of manufactured objects. CAD designers perform modeling operations, such
as sketch and extrude, to form a construction sequence that makes up a final
design. Despite the pervasiveness of parametric CAD and growing interest from
the research community, a dataset of human designed 3D CAD construction
sequences has not been available to-date. In this paper we present the Fusion
360 Gallery reconstruction dataset and environment for learning CAD
reconstruction. We provide a dataset of 8,625 designs, comprising sequential
sketch and extrude modeling operations, together with a complementary
environment called the Fusion 360 Gym, to assist with performing CAD
reconstruction. We outline a standard CAD reconstruction task, together with
evaluation metrics, and present results from a novel method using neurally
guided search to recover a construction sequence from raw geometry.
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