Generative neural network for synthesis of faces and behaviors
US12154313B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 24, 2020 |
| Grant date | Nov 26, 2024 |
| Priority date | — |
| Expiry date | Nov 28, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/78
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computing system comprising a generative neural network (100) is disclosed. The generative neural network (100) is configured to receive a plurality of input videos. Each input video comprises a face defining an identity. Each input video comprises a behaviour. Each input video comprises the same behaviour as each of the other input videos, and a different identity to each of the other input videos. The generative neural network (100) is also configured synthesize an output video from the input videos. The output video comprises a synthetic face defining a synthetic identity. The generative neural network has been trained, with a loss function, to preserve the behaviour of the input videos while generating the synthetic identity that is different from each identity of the input videos.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.