The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 20, 2025
Filed:
Sep. 30, 2022
Panagiotis Achlioptas, Mountain View, CA (US);
Menglei Chai, Los Angeles, CA (US);
Hsin-ying Lee, San Jose, CA (US);
Kyle Olszewski, Los Angeles, CA (US);
Jian Ren, Hermosa Beach, CA (US);
Sergey Tulyakov, Santa Monica, CA (US);
Panagiotis Achlioptas, Mountain View, CA (US);
Menglei Chai, Los Angeles, CA (US);
Hsin-Ying Lee, San Jose, CA (US);
Kyle Olszewski, Los Angeles, CA (US);
Jian Ren, Hermosa Beach, CA (US);
Sergey Tulyakov, Santa Monica, CA (US);
Snap Inc., Santa Monica, CA (US);
Abstract
A system and method are described for generating 3D garments from two-dimensional (2D) scribble images drawn by users. The system includes a conditional 2D generator, a conditional 3D generator, and two intermediate media including dimension-coupling color-density pairs and flat point clouds that bridge the gap between dimensions. Given a scribble image, the 2D generator synthesizes dimension-coupling color-density pairs including the RGB projection and density map from the front and rear views of the scribble image. A density-aware sampling algorithm converts the 2D dimension-coupling color-density pairs into a 3D flat point cloud representation, where the depth information is ignored. The 3D generator predicts the depth information from the flat point cloud. Dynamic variations per garment due to deformations resulting from a wearer's pose as well as irregular wrinkles and folds may be bypassed by taking advantage of 2D generative models to bridge the dimension gap in a non-parametric way.