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:
Mar. 04, 2025

Filed:

Apr. 28, 2023
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Yuan He, San Jose, CA (US);

Anupam Anurag Tripathi, Chicago, IL (US);

Anwitha Paruchuri, San Jose, CA (US);

Sukryool Kang, Dublin, CA (US);

Andrew Francis Hickl, Sammamish, WA (US);

Sujeong Cha, Long Island City, NY (US);

Surya Raghavendra Vadlamani, Newtown, PA (US);

Peter Royer Smith, Jr., Sharon, CT (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/535 (2019.01); G06F 16/538 (2019.01); G06F 16/56 (2019.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 16/535 (2019.01); G06F 16/538 (2019.01); G06F 16/56 (2019.01); G06N 3/08 (2013.01);
Abstract

Methods, systems, and apparatus are provided for generating an image. A personalized text prompt is generated by processing an input embedding using a transformer model followed by a first fully connected neural network. The input embedding comprises a multi-dimensional embedding vector associated with a user profile and a plurality of user items. A scored label set is generated identifying a user's preferences by processing a set of attributes for the plurality of user items using a second fully connected neural network. The image is generated by processing the personalized text prompt and the scored label set using a diffusion model.


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