US 11,915,362 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 Aug. 24, 2020, as Appl. No. 17/000,856.
Prior Publication US 2022/0058859 A1, Feb. 24, 2022
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)] 20 Claims
OG exemplary drawing
 
1. A 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 as inputs for one or more trained machine learning models;
generating a set of seam predictions associated with the 3D model by applying the one or more trained machine learning models to the one or more representations of the 3D model, 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.