Avatar style transformation using neural networks
US11348301B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 16, 2020 |
| Grant date | May 31, 2022 |
| Priority date | — |
| Expiry date | Dec 16, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for transforming a motion style of an avatar from a first style to a second style. The program and method include: retrieving, by a processor from a storage device, an avatar depicting motion in a first style; receiving user input selecting a second style; obtaining, based on the user input, a trained machine learning model that performs a non-linear transformation of motion from the first style to the second style; and applying the obtained trained machine learning model to the retrieved avatar to transform the avatar from depicting motion in the first style to depicting motion in the second style.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.