Text-driven 3D object stylization using neural networks
US12417602B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 27, 2023 |
| Grant date | Sep 16, 2025 |
| Priority date | — |
| Expiry date | Sep 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2219/2024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Generation of three-dimensional (3D) object models may be challenging for users without a sufficient skill set for content creation and may also be resource intensive. One or more style transfer networks may be combined with a generative network to generate objects based on parameters associated with a textual input. An input including a 3D mesh and texture may be provided to a trained system along with a textual input that includes parameters for object generation. Features of the input object may be identified and then tuned in accordance with the textual input to generate a modified 3D object that includes a new texture along with one or more geometric adjustments.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.