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. 02, 2024

Filed:

Apr. 06, 2021
Applicant:

Meta Platforms, Inc., Menlo Park, CA (US);

Inventors:

Maxime Mohamad Oquab, Paris, FR;

Pierre Stock, Paris, FR;

Oran Gafni, Ramat Gan, IL;

Daniel Raynald David Haziza, Paris, FR;

Tao Xu, Sunnyvale, CA (US);

Peizhao Zhang, Fremont, CA (US);

Onur Çelebi, Paris, FR;

Patrick Labatut, Paris, FR;

Thibault Michel Max Peyronel, San Francisco, CA (US);

Camille Couprie, Montgeron, FR;

Assignee:

Meta Platforms, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 9/00 (2006.01); G06F 18/213 (2023.01); G06T 7/246 (2017.01); G06V 40/16 (2022.01); H04N 7/14 (2006.01);
U.S. Cl.
CPC ...
G06T 9/001 (2013.01); G06F 18/213 (2023.01); G06T 7/248 (2017.01); G06V 40/171 (2022.01); H04N 7/147 (2013.01);
Abstract

In one embodiment, a first device may receive, from a second device, a reference landmark map identifying locations of facial features of a user of the second device depicted in a reference image and a feature map, generated based on the reference image, representing an identity of the user. The first device may receive, from the second device, a current compressed landmark map based on a current image of the user and decompress the current compressed landmark map to generate a current landmark map. The first device may update the feature map based on a motion field generated using the reference landmark map and the current landmark map. The first device may generate scaling factors based on a normalization facial mask of pre-determined facial features of the user. The first device may generate an output image of the user by decoding the updated feature map using the scaling factors.


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