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:
Jun. 23, 2026

Filed:

Aug. 28, 2024
Applicant:

Maplebear Inc., San Francisco, CA (US);

Inventors:

Prithvishankar Srinivasan, Seattle, WA (US);

Orrin Naylor, Mohave County, AZ (US);

Jatin Jain, Issaquah, WA (US);

Shishir Kumar Prasad, Fremont, CA (US);

Katherine Tsen, New York, NY (US);

Riddhima Sejpal, Dublin, CA (US);

Assignee:

Maplebear Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/60 (2026.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G06T 11/60 (2013.01); G06V 10/44 (2022.01);
Abstract

An online system generates images for collections of items using an image generation model. To ensure a generated image accurately reflects a collection of items, the online system determines a type of the collection and selects a template including evaluation questions associated with the determined type. Evaluation questions are curated to determine accuracy of the content of a generated image for the collection. By applying a visual learning model to the questions in the selected template and the generated image, the online system identifies discrepancies between the image and the collection of items from the output of the vision language model. Subsequently, the online system prompts the image generation model to create an updated image for the collection that does not include the identified discrepancies. The online system may repeat the discrepancy identification and image modification until no discrepancies are found in the generated image.


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