Fast face-morphing using neural networks
US10552977B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 18, 2017 |
| Grant date | Feb 4, 2020 |
| Priority date | — |
| Expiry date | Nov 7, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods generate a face-swapped image from a target image using a convolutional neural network trained to apply a source identity to the expression and pose of the target image. The convolutional neural network produces face-swapped images fast enough to transform a video stream. An example method includes aligning the face portion of a target image from an original view to a reference view to generate a target face and generating a swapped face by changing the target face to that of a source identity using a convolutional neural network trained to minimize loss of content from the target face and style from the source identity. The method also includes realigning the swapped face from the reference view to the original view and generating a swapped image by stitching the realigned swapped face with the remaining portion of the target image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.