ContrastCAD: Contrastive Learning-Based Representation Learning for Computer-Aided Design Models

The success of Transformer-based models has encouraged many researchers to learn CAD models using sequence-based approaches. However, learning CAD models is still a challenge, because they can be represented as complex shapes with long construction sequences. Furthermore, the same CAD model can be e...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Minseop Jung, Minseong Kim, Jibum Kim
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	Contrastive learning CAD model transformer autoencoder CAD generation
Linkit:	https://ieeexplore.ieee.org/document/10559801/
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