论文标题
Fusion 360画廊：人类设计序列的编程CAD结构的数据集和环境
Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences
论文作者
论文摘要
参数计算机辅助设计（CAD）是用于设计制造对象的标准范式，其中3D形状表示为CAD软件支持的程序。尽管参数CAD普遍存在，并且研究界的兴趣日益增长，但目前尚未以简洁的程序化形式存在现实的CAD模型数据集。在本文中，我们介绍了Fusion 360画廊，该画廊由简单的语言组成，只有草图和挤出建模操作，以及以这种语言表达的8,625个人类设计序列的数据集。我们还提出了一个称为Fusion 360健身房的互动环境，该环境将CAD程序的顺序构造作为马尔可夫决策过程，使其可以对机器学习方法进行修正。作为我们数据集和环境的用例，我们定义了从目标几何恢复CAD程序的CAD重建任务。我们报告采用对该任务的神经指导搜索应用程序合成的最新方法的结果。
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.
