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VQ-CAD: Computer-Aided Design model generation with vector quantized diffusion.

Authors :
Wang, Hanxiao
Zhao, Mingyang
Wang, Yiqun
Quan, Weize
Yan, Dong-Ming
Source :
Computer Aided Geometric Design. Jun2024, Vol. 111, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Computer-Aided Design (CAD) software remains a pivotal tool in modern engineering and manufacturing, driving the design of a diverse range of products. In this work, we introduce VQ-CAD, the first CAD generation model based on Denoising Diffusion Probabilistic Models. This model utilizes a vector quantized diffusion model, employing multiple hierarchical codebooks generated through VQ-VAE. This integration not only offers a novel perspective on CAD model generation but also achieves state-of-the-art performance in 3D CAD model creation in a fully automatic fashion. Our model is able to recognize and incorporate implicit design constraints by simply forgoing traditional data augmentation. Furthermore, by melding our approach with CLIP, we significantly simplify the existing design process, directly generate CAD command sequences from initial design concepts represented by text or sketches , capture design intentions, and ensure designs adhere to implicit constraints. • We proposed a novel and effective approach for CAD model generation by utilizing VQ-Diffusion. • Our model shows a unique ability to discern implicit design constraints. • We can transform image sketches and text descriptions into CAD sequences by leveraging the capabilities of CLIP. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01678396
Volume :
111
Database :
Academic Search Index
Journal :
Computer Aided Geometric Design
Publication Type :
Academic Journal
Accession number :
177655168
Full Text :
https://doi.org/10.1016/j.cagd.2024.102327