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:
Jul. 01, 2025

Filed:

Feb. 21, 2023
Applicant:

Lemon Inc., Grand Cayman, KY;

Inventors:

Bingchen Liu, Los Angeles, CA (US);

Qing Yan, Los Angeles, CA (US);

Yizhe Zhu, Los Angeles, CA (US);

Xiao Yang, Los Angeles, CA (US);

Assignee:

LEMON INC., Grand Cayman, KY;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G06F 3/14 (2006.01); G06Q 50/00 (2024.01); G06T 3/60 (2024.01); G06V 10/70 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06T 11/00 (2013.01); G06F 3/14 (2013.01); G06Q 50/01 (2013.01); G06T 3/60 (2013.01); G06V 10/70 (2022.01); G06V 40/161 (2022.01); G06V 40/171 (2022.01);
Abstract

The present disclosure provides systems and methods for generating a synthesized image of a user with a trained machine learning diffusion model. In one example, a computing system includes one or more processors configured to execute instructions stored in memory to execute a trained machine learning diffusion model including an image encoder, a text encoder, and a diffusion model. The image encoder is configured to receive an image of a user and generate a set of embeddings that semantically describe visual features of the user based at least on the image of the user. The text encoder is configured to receive the set of embeddings and generate an input feature vector based at least on the set of embeddings. The diffusion model is configured to receive the input feature vector and generate a synthesized image of the user based at least on the input feature vector.


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