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:
Sep. 15, 2026

Filed:

Dec. 12, 2023
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Risheek Garrepalli, San Diego, CA (US);

Yunxiao Shi, San Diego, CA (US);

Hong Cai, San Diego, CA (US);

Yinhao Zhu, La Jolla, CA (US);

Shubhankar Mangesh Borse, San Diego, CA (US);

Jisoo Jeong, San Diego, CA (US);

Debasmit Das, San Diego, CA (US);

Manish Kumar Singh, San Diego, CA (US);

Rajeev Yasarla, San Diego, CA (US);

Shizhong Steve Han, San Diego, CA (US);

Fatih Murat Porikli, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/776 (2022.01); G06T 7/50 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 10/776 (2022.01); G06T 7/50 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Systems and techniques are provided for processing image data. According to some aspects, a computing device can generate a gradient (e.g., a classifier gradient using a trained classifier) associated with a current sample. The computing device can combine the gradient with an iterative model estimated score function or data associated with the current sample to generate a score function estimate. The computing device can predict, using the diffusion machine learning model and based on the score function estimate, a new sample.


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