Invention Grant
- Patent Title: Neural network based 3D object surface mapping
-
Application No.: US17537343Application Date: 2021-11-29
-
Publication No.: US11869132B2Publication Date: 2024-01-09
- Inventor: Vladimir Kim , Noam Aigerman , Niloy J. Mitra , Luca Morreale
- Applicant: Adobe Inc. , UCL Business Ltd.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.,UCL Business Ltd.
- Current Assignee: Adobe Inc.,UCL Business Ltd.
- Current Assignee Address: US CA San Jose; GB London
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06T17/20
- IPC: G06T17/20 ; G06T15/04 ; G06N3/08 ; G06N3/045

Abstract:
Certain aspects and features of this disclosure relate to neural network based 3D object surface mapping. In one example, a first representation of a first surface of a first 3D object and a second representation of a second surface of a second 3D object are produced. A surface mapping function is generated for mapping the first surface to the second surface. The surface mapping function is defined the representations and by a neural network model configured to map a first 2D representation of the first surface to a second 2D representation of the second surface. One or more features of the a first 3D mesh on the first surface can be applied to a second 3D mesh on the second surface using the surface mapping function to produce a modified second surface, which can be rendered through a user interface.
Public/Granted literature
- US20230169714A1 NEURAL NETWORK BASED 3D OBJECT SURFACE MAPPING Public/Granted day:2023-06-01
Information query