Methods and systems for image processing using a learning engine
US11308657B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 11, 2021 |
| Grant date | Apr 19, 2022 |
| Priority date | — |
| Expiry date | Aug 11, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2021/0135
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed configured to train an autoencoder. A data training set is generated comprising images of different faces. A first autoencoder configuration is generated, comprising a first encoder, and a first decoder. The first autoencoder configuration is trained using dataset images, wherein weights associated with the first encoder and weights associated with the first decoder are modified. A second autoencoder configuration is generated comprising the first encoder and a second decoder. The second decoder is trained using a plurality of images of a first target face. First encoder weights are substantially maintained, and weights associated with the second decoder are modified. An autoencoder comprising the trained first encoder and the trained second decoder is used to generate an output using a source image of a first face having a facial expression, where the facial expression of the first face from the source image is applied to the first specific target face.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.