Patent · US Active

Disentangling latent representations for image reenactment

US11900519B2 · kind B2 · utility

0Cited by

4References

17Claims

0Family size

Assignee

Adobe Inc. · US

Inventors

Kevin Duarte · San Jose, US
Wei-An Lin · San Jose, US
Ratheesh Kalarot · San Jose, US
Shabnam Ghadar · Menlo Park, US
Jingwan Lu · Santa Clara, US
Elya Shechtman · Seattle, US
John Nack · San Jose, US

Key dates

Filing date	Nov 17, 2021
Grant date	Feb 13, 2024
Priority date	—
Expiry date	Feb 18, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06T5/50
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Systems and methods for image processing are described. Embodiments of the present disclosure encode features of a source image to obtain a source appearance encoding that represents inherent attributes of a face in the source image; encode features of a target image to obtain a target non-appearance encoding that represents contextual attributes of the target image; combine the source appearance encoding and the target non-appearance encoding to obtain combined image features; and generate a modified target image based on the combined image features, wherein the modified target image includes the inherent attributes of the face in the source image together with the contextual attributes of the target image.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.