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AI+CAD Data Representation Architecture: From DeepCAD Solid Modeling to WHUCAD Industrial-Level Parametric Feature Modeling

This paper argues that CAD AI lives or dies on data representation, not just model quality. It contrasts DeepCAD’s solid-modeling setup with WHUCAD’s three-level parametric feature architecture, which the authors say is closer to industrial CAD workflows. For tools and technical artists, the takeaway is that “usable” CAD data is a much harder target than visually plausible geometry.

First reported 3 months, 2 weeks ago • ai graphics data representation parametric modeling
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arXiv cs.GR arXiv cs.GR

AI+CAD Data Representation Architecture: From DeepCAD Solid Modeling to WHUCAD Industrial-Level Parametric Feature Modeling

3 months, 2 weeks ago Read source
arXiv cs.GR arXiv cs.GR 1% match

FllumaOne: A Code-Native Multimodal CAD Dataset with Executable Programs and Kernel-Validated Feature Histories

3 months, 1 week ago Read source