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:
May. 14, 2024

Filed:

Nov. 23, 2022
Applicant:

Palo Alto Research Center Incorporated, Palo Alto, CA (US);

Inventors:

Raja Bala, Pittsford, NY (US);

Sricharan Kallur Palli Kumar, Mountain View, CA (US);

Matthew A. Shreve, Campbell, CA (US);

Assignee:

Xerox Corporation, Norwalk, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/04845 (2022.01); G06F 3/04847 (2022.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/08 (2023.01); G06N 3/088 (2023.01); G06T 5/00 (2006.01); G06T 7/11 (2017.01); G06T 7/143 (2017.01); G06T 7/35 (2017.01); G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
G06F 3/04845 (2013.01); G06F 3/04847 (2013.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/088 (2013.01); G06T 5/002 (2013.01); G06T 7/11 (2017.01); G06T 7/143 (2017.01); G06T 7/35 (2017.01); G06T 11/00 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Embodiments described herein provide a system for generating semantically accurate synthetic images. During operation, the system generates a first synthetic image using a first artificial intelligence (AI) model and presents the first synthetic image in a user interface. The user interface allows a user to identify image units of the first synthetic image that are semantically irregular. The system then obtains semantic information for the semantically irregular image units from the user via the user interface and generates a second synthetic image using a second AI model based on the semantic information. The second synthetic image can be an improved image compared to the first synthetic image.


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