US 12,266,051 B2
UV mapping on 3D objects with the use of artificial intelligence
Juan Sebastian Casallas Suarez, San Leandro, CA (US); Sacha Lepretre, Vercheres (CA); Salvatore Giuliano Vivona, Bolton (CA); Joseph David Macdonald, Montreal (CA); Bryan Villeneuve, Boucherville (CA); Viral Bankimbhai Thakar, Brampton (CA); Bruno Roy, Longueuil (CA); Hervé Michel Lange, Montreal (CA); and Fatemeh Teimury, Montreal (CA)
Assigned to AUTODESK, INC., San Francisco, CA (US)
Filed by AUTODESK, INC., San Francisco, CA (US)
Filed on Jan. 31, 2024, as Appl. No. 18/429,283.
Application 18/429,283 is a continuation of application No. 17/000,856, filed on Aug. 24, 2020, granted, now 11,915,362.
Prior Publication US 2024/0169661 A1, May 23, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 17/10 (2006.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06T 15/04 (2011.01); G06T 15/20 (2011.01); G06T 19/00 (2011.01)
CPC G06T 15/205 (2013.01) [G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06T 15/04 (2013.01); G06T 17/10 (2013.01); G06T 19/00 (2013.01); G06T 2210/21 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A computer-implemented method for automatically generating seams for a three-dimensional (3D) model, the method comprising:
generating, based on the 3D model, one or more representations of the 3D model that are different from the 3D model;
generating a set of seam predictions associated with the 3D model based on one or more criteria of one or more machine learning models that use the one or more representations of the 3D model as inputs, wherein each seam prediction included in the set of seam predictions identifies a different seam along which the 3D model can be cut; and
placing one or more seams on the 3D model based on the set of seam predictions.