Geometric Deep Learning for Computer-Aided Design: A Survey

arXiv:2402.17695v1 Announce Type: cross
Abstract: Geometric Deep Learning techniques have become a transformative force in the field of Computer-Aided Design (CAD), and have the potential to revolutionize how designers and engineers approach and enhance the design process. By harnessing the power of machine learning-based methods, CAD designers can optimize their workflows, save time and effort while making better informed decisions, and create designs that are both innovative and practical. The ability to process the CAD designs represented by geometric data …

abstract arxiv become cad computer cs.cg cs.lg deep learning deep learning techniques design designers engineers machine machine learning power process save survey type workflows