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Found 2 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.
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