Recursive autoencoder network for prediction of CAD model parameters from STEP files
(2024)
Presentation / Conference Contribution
Miles, V., Giani, S., Vogt, O., & Kafieh, R. Recursive autoencoder network for prediction of CAD model parameters from STEP files
Databases of 3D CAD (computer aided design) models are often large and lacking in meaningful organisation. Effective tools for automatically searching for, categorising and comparing CAD models, therefore, have many potential applic... Read More about Recursive autoencoder network for prediction of CAD model parameters from STEP files.