Invention Grant
- Patent Title: Generation of stylized drawing of three-dimensional shapes using neural networks
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Application No.: US17452568Application Date: 2021-10-27
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Publication No.: US11880913B2Publication Date: 2024-01-23
- Inventor: Aaron Hertzmann , Matthew Fisher , Difan Liu , Evangelos Kalogerakis
- Applicant: Adobe Inc. , University of Massachusetts
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.,University of Massachusetts
- Current Assignee: Adobe Inc.,University of Massachusetts
- Current Assignee Address: US CA San Jose; US MA Boston
- Agency: Weaver Austin Villeneuve & Sampson LLP
- Priority: GR 210100690 2021.10.11
- Main IPC: G06T11/00
- IPC: G06T11/00 ; G06T11/20 ; G06N3/045

Abstract:
Techniques for generating a stylized drawing of three-dimensional (3D) shapes using neural networks are disclosed. A processing device generates a set of vector curve paths from a viewpoint of a 3D shape; extracts, using a first neural network of a plurality of neural networks of a machine learning model, surface geometry features of the 3D shape based on geometric properties of surface points of the 3D shape; determines, using a second neural network of the plurality of neural networks of the machine learning model, a set of at least one predicted stroke attribute based on the surface geometry features and a predetermined drawing style; generates, based on the at least one predicted stroke attribute, a set of vector stroke paths corresponding to the set of vector curve paths; and outputs a two-dimensional (2D) stylized stroke drawing of the 3D shape based at least on the set of vector stroke paths.
Public/Granted literature
- US20230109732A1 GENERATION OF STYLIZED DRAWING OF THREE-DIMENSIONAL SHAPES USING NEURAL NETWORKS Public/Granted day:2023-04-13
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 |
G06T11/00 | 2D〔二维〕图像的生成 |