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:
Jan. 06, 2026

Filed:

Nov. 06, 2023
Applicant:

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

Inventors:

Marian Lupascu, Bucharest, RO;

Vlad-Constantin Lungu-Stan, Bucharest, RO;

Ionut Mironica, Bucharest, RO;

George Bogdan Avram, Bucharest, RO;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G06T 7/90 (2017.01); G06T 11/60 (2006.01); G06V 10/56 (2022.01); G06V 10/60 (2022.01);
U.S. Cl.
CPC ...
G06T 11/60 (2013.01); G06T 7/90 (2017.01); G06T 11/001 (2013.01); G06V 10/56 (2022.01); G06V 10/60 (2022.01); G06T 2207/10024 (2013.01);
Abstract

The present disclosure relates to systems, methods, and non-transitory computer readable media for generating digital designs utilizing a diffusion neural network to preserve readability and design composition while modifying image content background images and design assets. In some embodiments, the disclosed systems access a text prompt defining visual attributes of a digital design. Furthermore, the disclosed systems generate a modified text prompt by replacing chromatic information within the text prompt. Additionally, the disclosed systems determine an adaptive strength for a diffusion neural network from the text prompt. Also, the disclosed systems generate a modified digital design utilizing the diffusion neural network to process the modified text prompt according to the adaptive strength.


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