Image editing by a generative adversarial network using keypoints or segmentation masks constraints
US11157773B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 26, 2020 |
| Grant date | Oct 26, 2021 |
| Priority date | — |
| Expiry date | Feb 26, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Images can be edited to include features similar to a different target image. An unconditional generative adversarial network (GAN) is employed to edit features of an initial image based on a constraint determined from a target image. The constraint used by the GAN is determined from keypoints or segmentation masks of the target image, and edits are made to features of the initial image based on keypoints or segmentation masks of the initial image corresponding to those of the constraint from the target image. The GAN modifies the initial image based on a loss function having a variable for the constraint. The result of this optimization process is a modified initial image having features similar to the target image subject to the constraint determined from the identified keypoints or segmentation masks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.