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. 17, 2026

Filed:

Oct. 18, 2023
Applicants:

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

University of Surrey, Guildford, GB;

Inventors:

Yifei Fan, Santa Clara, CA (US);

John Collomosse, Woking, GB;

Jing Shi, Rochester, NY (US);

Alexander Black, London, GB;

Assignees:

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

University of Surrey, Guildford, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/70 (2022.01); G06V 10/44 (2022.01); G06V 10/771 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 20/70 (2022.01); G06V 10/44 (2022.01); G06V 10/771 (2022.01); G06V 10/82 (2022.01);
Abstract

Methods, systems, and non-transitory computer readable storage media are disclosed for generating difference captions indicating detected differences in digital image pairs. The disclosed system generates a first feature map of a first digital image and a second feature map of a second digital image. The disclosed system converts, utilizing a linear projection neural network, the first feature map to a first modified feature map in a feature space corresponding to a large language machine-learning model. The disclosed system also converts, utilizing the linear projection neural network layer, the second feature map to a second modified feature map in the feature space corresponding to the large language machine-learning model. The disclosed system further generates, utilizing the large language machine-learning model, a difference caption indicating a difference between the first digital image and the second digital image from a combination of the first modified feature map and the second modified feature map.


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