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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.

Patent No.:

US 12608621 B1

PDFFull Text
Date of Patent:
Apr. 21, 2026

Filed:

Dec. 14, 2022

Generating artificial video with changed domain

Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Akhil Perincherry, Dearborn, MI (US);

Arpita Chand, Dearborn, MI (US);

Assignee:

Ford Global Technologies, LLC, Dearborn, MI (US);

Attorneys:

Frank A. MacKenzie

Brooks Kushman P.C.

Primary Examiner:

Quoc A Tran

Int. Cl.
CPC ...
G06N 3/09 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/08 (2023.01); G06N 3/088 (2023.01); G06N 3/094 (2023.01); G06T 9/00 (2006.01); G06V 10/77 (2022.01); G06V 10/776 (2022.01); G06V 10/778 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01); H04N 5/265 (2006.01); H04N 19/139 (2014.01); H04N 19/172 (2014.01); H04N 19/182 (2014.01); H04N 19/42 (2014.01);
U.S. Cl.
CPC ...
G06N 3/09 (2023.01); G06N 3/094 (2023.01); G06V 10/7715 (2022.01); G06V 10/776 (2022.01); G06V 10/7788 (2022.01); G06V 10/806 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/08 (2013.01); G06N 3/088 (2013.01); G06T 9/002 (2013.01); H04N 5/265 (2013.01); H04N 19/139 (2014.11); H04N 19/172 (2014.11); H04N 19/182 (2014.11); H04N 19/42 (2014.11);
Abstract

A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive an input video of a scene and audio data associated with the input video, the input video being in a first domain; execute an encoder to map the input video and the audio data to a latent vector in a lower-dimensional latent space; and execute a generator to generate an output video of the scene from the latent vector, the output video being in a second domain. The encoder and the generator are trained to maintain temporal consistency between the input video and the output video by using the audio data.

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