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:
Apr. 14, 2026

Filed:

Aug. 31, 2023
Applicant:

Adeia Imaging Llc, San Jose, CA (US);

Inventors:

Jean-Yves Couleaud, Mission Viejo, CA (US);

Ning Xu, Irvine, CA (US);

Zhiyun Li, Kenmore, WA (US);

Assignee:

Adeia Imaging LLC, San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/60 (2006.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/194 (2017.01);
U.S. Cl.
CPC ...
G06T 11/60 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/194 (2017.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20221 (2013.01);
Abstract

Systems and methods are described for generating, using the first trained machine learning model and based on text input, a single-layer image comprising a plurality of objects; generating a plurality of masks associated with the plurality of objects; determining a plurality of attributes associated with the plurality of objects; generating, using a second trained machine learning model, a plurality of textual descriptions respectively corresponding to the plurality of objects; inputting the plurality of textual descriptions, and the plurality of attributes, to the first trained machine learning model; generating, using the first trained machine learning model, a plurality of images respectively corresponding to the plurality of textual descriptions; and generating the multi-layer image by combining the plurality of images and by using the plurality of masks, wherein the plurality of images respectively correspond to a plurality of layers of the multi-layer image.


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