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:
Jun. 06, 2023

Filed:

Jul. 01, 2021
Applicant:

Electronic Arts Inc., Redwood City, CA (US);

Inventors:

Mingyi Shi, Hong Kong, CN;

Yiwei Zhao, Sunnyvale, CA (US);

Wolfram Sebastian Starke, Edinburgh, GB;

Mohsen Sardari, Redwood City, CA (US);

Navid Aghdaie, San Jose, CA (US);

Assignee:

ELECTRONIC ARTS INC., Redwood City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 13/40 (2011.01); G06T 7/70 (2017.01); G06T 7/20 (2017.01); H04N 5/272 (2006.01);
U.S. Cl.
CPC ...
G06T 13/40 (2013.01); G06T 7/20 (2013.01); G06T 7/70 (2017.01); H04N 5/272 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30221 (2013.01);
Abstract

Embodiments of the systems and methods described herein provide a dynamic animation generation system that can apply a real-life video clip with a character in motion to a first neural network to receive rough motion data, such as pose information, for each of the frames of the video clip, and overlay the pose information on top of the video clip to generate a modified video clip. The system can identify a sliding window that includes a current frame, past frames, and future frames of the modified video clip, and apply the modified video clip to a second neural network to predict a next frame. The dynamic animation generation system can then move the sliding window to the next frame while including the predicted next frame, and apply the new sliding window to the second neural network to predict the following frame to the next frame.


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