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:

Aug. 09, 2024
Applicants:

Electronics and Telecommunications Research Institute, Daejeon, KR;

Uif (University Industry Foundation), Yonsei University, Seoul, KR;

Inventors:

Ha Hyun Lee, Daejeon, KR;

Gun Bang, Daejeon, KR;

Soo Woong Kim, Daejeon, KR;

Ji Hoon Do, Daejeon, KR;

Seong Jun Bae, Daejeon, KR;

Jin Ho Lee, Daejeon, KR;

Jung Won Kang, Daejeon, KR;

Young Jung Uh, Seoul, KR;

Seo Ha Kim, Seoul, KR;

Jung Min Bae, Seoul, KR;

Young Sik Yun, Seoul, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 15/20 (2011.01); G06T 7/20 (2017.01); G06T 7/70 (2017.01); G06T 9/00 (2006.01); G06T 15/08 (2011.01); G06T 17/00 (2006.01); H04N 5/05 (2006.01); G06T 3/4046 (2024.01); G06T 15/06 (2011.01);
U.S. Cl.
CPC ...
G06T 15/20 (2013.01); G06T 7/20 (2013.01); G06T 7/70 (2017.01); G06T 9/002 (2013.01); G06T 15/08 (2013.01); G06T 15/205 (2013.01); G06T 17/00 (2013.01); H04N 5/05 (2013.01); G06T 3/4046 (2013.01); G06T 15/06 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

The present disclosure relates to a method and apparatus for representing dynamic neural radiance fields from unsynchronized videos. A method of acquiring a video at an arbitrary viewpoint based on a dynamic neural radiance fields model according to an embodiment of the present disclosure may comprise: inputting one or more videos acquired from one or more views for one scene into the dynamic neural radiance fields model; inputting a time embedding for the one or more videos into the dynamic neural radiance fields model; and rendering the video at the arbitrary viewpoint based on color information and density information output by the dynamic neural radiance fields model. Herein, time synchronization related to the time embedding may be performed by applying an individual time offset learned for each view, for the one or more views.


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