Avatar style transformation using neural networks
US10896534B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 19, 2018 |
| Grant date | Jan 19, 2021 |
| Priority date | — |
| Expiry date | Sep 24, 2038 |
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.