US 12,254,550 B2
System and method for generating character poses using deep learning
Florent Benjamin Bocquelet, La Motte-Servolex (FR); Dominic Laflamme, Hudson (CA); and Boris Oreshkin, Mont-Royal (CA)
Assigned to Unity IPR ApS, Copenhagen (DK)
Filed by Unity IPR ApS, Copenhagen (DK)
Filed on May 23, 2023, as Appl. No. 18/201,041.
Application 18/201,041 is a continuation of application No. 17/326,211, filed on May 20, 2021, granted, now 11,694,382.
Claims priority of provisional application 62/706,729, filed on Sep. 4, 2020.
Prior Publication US 2024/0062446 A1, Feb. 22, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 13/40 (2011.01); G06N 20/00 (2019.01); G06T 7/70 (2017.01)
CPC G06T 13/40 (2013.01) [G06N 20/00 (2019.01); G06T 7/70 (2017.01); G06T 2200/04 (2013.01); G06T 2207/20044 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
one or more computer processors;
one or more computer memories;
a set of instructions stored in the one or more computer memories, the set of instructions configuring the one or more computer processors to perform operations, the operations comprising:
combining a set of zero or more inputs including one or more different effector types for each of one or more joints of a character into a single input;
transforming the single input into a pose embedding, the pose embedding including a machine-learned representation of the single input; and
expanding the pose embedding into a pose representation output, the pose representation output including rotation data and position data for the one or more joints of the character.