Computer-Aided Design (CAD) applications are used in manufacturing to model everything from coffee mugs to sports cars. These programs are complex and require years of training and experience to master. A component of all CAD models particularly difficult to make are the highly structured 2D sketches that lie at the heart of every 3D construction. In this work, we propose a machine learning model capable of automatically generating such sketches. Through this, we pave the way for developing intelligent tools that would help engineers create better designs with less effort. Our method is a combination of a general-purpose language modeling technique alongside an off-the-shelf data serialization protocol. We show that our approach has enough flexibility to accommodate the complexity of the domain and performs well for both unconditional synthesis and image-to-sketch translation.

中文翻译：

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计算机辅助设计作为语言

计算机辅助设计（CAD）应用程序用于制造中，以建模从咖啡杯到跑车的所有内容。这些程序很复杂，需要多年的培训和经验才能掌握。所有CAD模型中特别难以制作的一个组成部分是高度结构化的2D草图，该草图是每个3D构造的核心。在这项工作中，我们提出了一种能够自动生成此类草图的机器学习模型。通过这种方式，我们为开发智能工具铺平了道路，这些工具将帮助工程师以更少的精力创建更好的设计。我们的方法结合了通用语言建模技术和现成的数据序列化协议。