US 12,462,453 B2
Context-aware synthesis and placement of object instances
Donghoon Lee, Sunnyvale, CA (US); Sifei Liu, Santa Clara, CA (US); Jinwei Gu, San Jose, CA (US); Ming-Yu Liu, San Jose, CA (US); and Jan Kautz, Lexington, MA (US)
Assigned to NVIDIA Corporation, Santa Clara, CA (US)
Filed by NVIDIA Corporation, Santa Clara, CA (US)
Filed on Jan. 26, 2022, as Appl. No. 17/585,449.
Application 17/585,449 is a continuation of application No. 16/201,934, filed on Nov. 27, 2018, abandoned.
Claims priority of provisional application 62/726,872, filed on Sep. 4, 2018.
Prior Publication US 2022/0335672 A1, Oct. 20, 2022
Int. Cl. G06T 3/02 (2024.01); G06F 18/21 (2023.01); G06F 18/24 (2023.01); G06T 7/30 (2017.01); G06T 11/60 (2006.01); G06V 30/262 (2022.01); G06T 7/70 (2017.01)
CPC G06T 11/60 (2013.01) [G06F 18/217 (2023.01); G06F 18/24 (2023.01); G06T 3/02 (2024.01); G06T 7/30 (2017.01); G06V 30/274 (2022.01); G06T 7/70 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2210/12 (2013.01)] 30 Claims
OG exemplary drawing
 
1. One or more processors, comprising:
circuitry to use one or more neural networks to:
identify a set of locations in an image into which to insert an object based, at least in part, on a segmentation map and a location of one or more other objects within the image;
identify a shape of the object based, at least in part, on the set of locations; and
insert the object into at least one of the set of locations based, at least in part, on the identified shape.