MACHINE LEARNING-BASED SELECTIVE INCARNATION OF COMPUTER-AIDED DESIGN OBJECTS
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United States of America Patent
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Issued Date -
Dec 22, 2022
app pub date -
Dec 5, 2019
filing date -
Dec 5, 2019
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Abstract
A computing system may include an instance identification engine configured to determine a selected subset of pattern instances of a programmatic pattern used to represent a geometry of a computer-aided design (CAD) object, including by identifying a CAD operation to perform on the CAD object; determining a sampled point set in the CAD object applicable to the CAD operation; providing the sampled point set as an input to an inversion machine-learning (ML) model trained to output a given pattern instance of the programmatic pattern for an input point of the CAD object; and determining, as the selected subset, an output set of pattern instances provided by the inversion ML model for the sampled point set. The system may also include an object incarnation engine configured to incarnate a geometry of the selected subset of pattern instances to perform the CAD operation on the CAD object.
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