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:
Mar. 10, 2026

Filed:

Jan. 13, 2023
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Seokhwan Jang, Suwon-si, KR;

Nahyup Kang, Suwon-si, KR;

Jiyeon Kim, Suwon-si, KR;

Hyewon Moon, Suwon-si, KR;

Donghoon Sagong, Suwon-si, KR;

Minjung Son, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/08 (2011.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 3/09 (2023.01); G06T 7/40 (2017.01); G06T 7/50 (2017.01); G06T 15/00 (2011.01); G06T 15/06 (2011.01);
U.S. Cl.
CPC ...
G06T 15/08 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 3/09 (2023.01); G06T 7/40 (2013.01); G06T 7/50 (2017.01); G06T 15/005 (2013.01); G06T 15/06 (2013.01); G06T 2200/04 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Disclosed are a method and device for representing rendered scenes. A data processing method of training a neural network model includes obtaining spatial information of sampling data, obtaining one or more volume-rendering parameters by inputting the spatial information of the sampling data to the neural network model, obtaining a regularization term based on a distribution of the volume-rendering parameters, performing volume rendering based on the volume-rendering parameters, and training the neural network model to minimize a loss function determined based on the regularization term and based on a difference between a ground truth image and an image that is estimated according to the volume rendering.


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