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:
Feb. 24, 2026

Filed:

Jun. 05, 2023
Applicant:

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

Inventors:

Valentin Mathieu Deschaintre, London, GB;

Yiwei Hu, New Haven, CT (US);

Paul Guerrero, London, GB;

Milos Hasan, Lafayette, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 10/44 (2022.01); G06V 10/54 (2022.01); G06V 10/74 (2022.01);
U.S. Cl.
CPC ...
G06V 10/761 (2022.01); G06V 10/44 (2022.01); G06V 10/54 (2022.01);
Abstract

Conditional procedural model generation techniques are described that enable generation of procedural models that are usable to recreate a visual appearance of an input image. A content processing system, for instance, receives a training dataset that includes a plurality of training pairs. The content processing system trains a machine learning model to generate procedural models based on input images. The content processing system then receives an input image that has a particular visual appearance. The content processing system leverages the trained machine learning model to generate a procedural model that is usable to recreate the particular visual appearance of the input digital image.


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