Invention Publication
- Patent Title: NEURAL NETWORK BASED 3D OBJECT SURFACE MAPPING
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Application No.: US17537343Application Date: 2021-11-29
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Publication No.: US20230169714A1Publication Date: 2023-06-01
- Inventor: Vladimir Kim , Noam Aigerman , Niloy J. Mitra , Luca Morreale
- Applicant: Adobe Inc. , University College London
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.,University College London
- Current Assignee: Adobe Inc.,University College London
- Current Assignee Address: US CA San Jose
- Main IPC: G06T15/04
- IPC: G06T15/04 ; G06T17/20 ; G06N3/04 ; G06N3/08

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
- US11869132B2 Neural network based 3D object surface mapping Public/Granted day:2024-01-09
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T15/00 | 3D〔三维〕图像的加工 |
G06T15/04 | .纹理映射 |