PPI-NET: End-to-End Parametric Primitive Inference

被引:0
|
作者
Wang, Liang [1 ]
Wang, Xiaogang [1 ]
机构
[1] Southwest Univ, Coll Comp & Informat Sci, Chongqing, Peoples R China
关键词
Parametric primitive; End-to-end; Hand-drawn sketch image; CAD software;
D O I
10.1007/978-3-031-50078-7_6
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In engineering applications, line, circle, arc, and point are collectively referred to as primitives, and they play a crucial role in path planning, simulation analysis, and manufacturing. When designing CAD models, engineers typically start by sketching the model's orthographic view on paper or a whiteboard and then translate the design intent into a CAD program. Although this design method is powerful, it often involves challenging and repetitive tasks, requiring engineers to perform numerous similar operations in each design. To address this conversion process, we propose an efficient and accurate end-to-end method that avoids the inefficiency and error accumulation issues associated with using auto-regressive models to infer parametric primitives from hand-drawn sketch images. Since our model samples match the representation format of standard CAD software, they can be imported into CAD software for solving, editing, and applied to downstream design tasks.
引用
收藏
页码:67 / 78
页数:12
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