Patent ID: 11922573
Assignee: DASSAULT SYSTEMES
Field: nan (nan)
Classification: CPC nan | IPC G

Claim 21:
22. A computer-implemented method for training a neural network configured for inference, from a freehand drawing representing a 3D shape, of a solid CAD feature representing the 3D shape, the method comprising:
obtaining a dataset including freehand drawings each representing a respective 3D shape; and
training the neural network based on the dataset,
the solid CAD feature including a respective sequence of curves and a sweep operation, the freehand drawing being a 2D image data structure, the dataset further including, for each of one or more freehand drawings, a respective solid CAD feature representing the 3D shape respective to the freehand drawing, and the training including a supervised training which includes minimizing a loss Lsup, the loss Lsup being invariant to at least one of sequence cyclic permutation, each solid CAD feature including a respective sequence of curves, and reference based sketch, each solid CAD feature including a sweep operation.