Human inpainting utilizing a segmentation branch for generating an infill segmentation map
US12347080B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2023 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Jul 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.