The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 18, 2025

Filed:

Feb. 25, 2022
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Yijun Li, Seattle, WA (US);

Utkarsh Ojha, Madison, WI (US);

Richard Zhang, San Francisco, CA (US);

Jingwan Lu, Sunnyvale, CA (US);

Elya Shechtman, Seattle, WA (US);

Alexei A. Efros, San Jose, CA (US);

Assignee:

ADOBE INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06F 3/04842 (2022.01);
U.S. Cl.
CPC ...
G06V 10/7747 (2022.01); G06F 3/04842 (2013.01);
Abstract

An image generation system enables user input during the process of training a generative model to influence the model's ability to generate new images with desired visual features. A source generative model for a source domain is fine-tuned using training images in a target domain to provide an adapted generative model for the target domain. Interpretable factors are determined for the source generative model and the adapted generative model. A user interface is provided that enables a user to select one or more interpretable factors. The user-selected interpretable factor(s) are used to generate a user-adapted generative model, for instance, by using a loss function based on the user-selected interpretable factor(s). The user-adapted generative model can be used to create new images in the target domain.


Find Patent Forward Citations

Loading…