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:
Nov. 12, 2024

Filed:

Nov. 14, 2022
Applicant:

Bria Artificial Intelligence Ltd, Tel Aviv, IL;

Inventors:

Yair Adato, Kfar Ben Nun, IL;

Ran Achituv, Kefar Sava, IL;

Eyal Gutflaish, Beer Sheva, IL;

Dvir Yerushalmi, Kfar Saba, IL;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/772 (2022.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06T 3/40 (2006.01); G06T 5/50 (2006.01); G06T 7/00 (2017.01); G06T 11/00 (2006.01); G06T 19/00 (2011.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01);
U.S. Cl.
CPC ...
G06V 10/764 (2022.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06T 3/40 (2013.01); G06T 5/50 (2013.01); G06T 7/0002 (2013.01); G06T 11/001 (2013.01); G06T 19/006 (2013.01); G06V 10/772 (2022.01); G06V 10/774 (2022.01); G06T 2207/20081 (2013.01);
Abstract

Systems, methods and non-transitory computer readable media for attributing generated visual content to training examples are provided. A first visual content generated using a generative model may be received. The generative model may be associated with a plurality of training examples. Each training example may be associated with a visual content. Properties of the first visual content may be determined. Each visual content associated with a training example may be analyzed to determine properties of the visual content. The properties of the first visual content and the properties of the visual contents associated with the plurality of training examples may be used to attribute the first visual content to a subgroup of the plurality of training examples. The visual contents associated with the training examples of the subgroup may be associated with a source. A data-record associated with the source may be updated based on the attribution.


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