ContrastCAD: Contrastive Learning-Based Representation Learning for Computer-Aided Design Models
Author:
Affiliation:
1. Department of Computer Science and Engineering, Incheon National University, Incheon, South Korea
2. CareSquare, Seoul, South Korea
Funder
National Research Foundation of Korea (NRF) Grant through the Korean Government
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10559801.pdf?arnumber=10559801
Reference32 articles.
1. Supervised Fitting of Geometric Primitives to 3D Point Clouds
2. ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
3. PIE-NET: Parametric inference of point cloud edges;Wang
4. Inferring CAD Modeling Sequences Using Zone Graphs
5. DeepCAD: A Deep Generative Network for Computer-Aided Design Models
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