公开(公告)号：US20230343058A1

公开(公告)日：2023-10-26

申请号：US18346754

申请日：2023-07-03

Applicant: AUTODESK, INC.

Inventor： Ran ZHANG ,  Morgan FABIAN ,  Ebot Etchu NDIP-AGBOR ,  Lee Morris TAYLOR

IPC: G06T19/20 ,  G06N3/08 ,  G06T3/40 ,  G06T17/20

CPC classification number: G06T19/20 ,  G06N3/08 ,  G06T3/40 ,  G06T17/205 ,  G06T2219/2016 ,  G06T2219/2021

Abstract: In various embodiments, a training application trains a machine learning model to modify portions of shapes when designing 3D objects. The training application converts first structural analysis data having a first resolution to first coarse structural analysis data having a second resolution that is lower than the first resolution. Subsequently, the training application generates one or more training sets based on a first shape, the first coarse structural analysis data, and a second shape that is derived from the first shape. Each training set is associated with a different portion of the first shape. The training application then performs one or more machine learning operations on the machine learning model using the training set(s) to generate a trained machine learning model. The trained machine learning model modifies at least a portion of a shape having the first resolution based on coarse structural analysis data having the second resolution.