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Found 3 papers, 2 papers with code
Optimizing CAD Models with Latent Space Manipulation
In this paper, we show that such an approach is also suitable for optimizing abstract automation-related features of CAD parts.
Simplified Learning of CAD Features Leveraging a Deep Residual Autoencoder
In this work, we present a deep residual 3D autoencoder based on the EfficientNet architecture, intended for transfer learning tasks related to 3D CAD model assessment.
Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods
Explainable AI methods have been used in order to assess whether a neural network has successfully learned a given task or to analyze which features of an input might lead to an adversarial attack.
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