US 12,243,124 B2
Personalized machine learning system to edit images based on a provided style
Shaona Ghosh, Campbell, CA (US); Milind Lingineni, Irvine, CA (US); and Come H. Weber, Paris (FR)
Assigned to Apple Inc., Cupertino, CA (US)
Filed by Apple Inc., Cupertino, CA (US)
Filed on Jan. 14, 2022, as Appl. No. 17/648,084.
Claims priority of provisional application 63/137,393, filed on Jan. 14, 2021.
Prior Publication US 2022/0222872 A1, Jul. 14, 2022
Int. Cl. G06T 11/00 (2006.01); G06N 3/045 (2023.01); G06T 11/40 (2006.01)
CPC G06T 11/001 (2013.01) [G06N 3/045 (2023.01); G06T 11/40 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A non-transitory program storage device (NPSD) comprising computer readable instructions executable by one or more processors to:
obtain a neural network configured to stylize images into a plurality of styles, wherein the neural network is trained on images comprising images stylized into one of the plurality of styles;
obtain an input image;
obtain a selection of a first style of the plurality of styles;
obtain a style vector representative of the first style;
inject the style vector into the neural network at a first location; and
use the neural network with the injected style vector to stylize at least a portion of the input image into a stylized output image, based on the first style.