Generation of stylized drawing of three-dimensional shapes using neural networks
US11880913B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Oct 27, 2021 |
| Grant date | Jan 23, 2024 |
| Priority date | — |
| Expiry date | May 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2200/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.