Neural face editing with intrinsic image disentangling
US10692265B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 7, 2019 |
| Grant date | Jun 23, 2020 |
| Priority date | — |
| Expiry date | Nov 7, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for performing manipulation of facial images using an artificial neural network. A facial rendering and generation network and method learns one or more compact, meaningful manifolds of facial appearance, by disentanglement of a facial image into intrinsic facial properties, and enables facial edits by traversing paths of such manifold(s). The facial rendering and generation network is able to handle a much wider range of manipulations including changes to, for example, viewpoint, lighting, expression, and even higher-level attributes like facial hair and age—aspects that cannot be represented using previous models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.