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

Claim 9:
10. The method of claim 1, wherein:
the dataset further includes, 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 includes a supervised training which includes minimizing a loss Lsup, the loss Lsup being optionally invariant to:
sequence cyclic permutation, each solid CAD feature including a respective sequence of curves, and/or
reference based sketch, each solid CAD feature including a sweep operation; and/or

the training includes an unsupervised training which includes minimizing a loss Lunsup, the loss Lunsup penalizing, for a freehand drawing, a disparity with a rendering derived from a respective inferable solid CAD feature, the neural network optionally outputting one or more discrete distributions of probabilities, the minimizing including a backpropagation of a gradient of the loss Lunsup relative to one or more variables each representing a respective discrete distribution of probabilities, the gradient being obtained with a reinforcement algorithm.