US 11,954,828 B2
Portrait stylization framework using a two-path image stylization and blending
Jing Liu, Los Angeles, CA (US); Chunpong Lai, Los Angeles, CA (US); Guoxian Song, Singapore (SG); Linjie Luo, Los Angeles, CA (US); and Ye Yuan, Los Angeles, CA (US)
Assigned to Lemon Inc., Grand Cayman (KY)
Filed by Lemon Inc., Grand Cayman (KY)
Filed on Oct. 14, 2021, as Appl. No. 17/501,990.
Prior Publication US 2023/0124252 A1, Apr. 20, 2023
Int. Cl. G06T 5/00 (2006.01); G06T 3/40 (2006.01); G06T 5/50 (2006.01); G06T 7/11 (2017.01); G06T 11/00 (2006.01)
CPC G06T 5/005 (2013.01) [G06T 3/40 (2013.01); G06T 5/50 (2013.01); G06T 7/11 (2017.01); G06T 11/001 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30201 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for generating a stylized image, the method comprising:
in a first data path,
applying first stylization to an input image to generate a first stylized image, and
applying enlargement to the first stylized image to generate an enlarged stylized image;
in a second data path,
applying segmentation to the input image to identify a face region of the input image and generate a mask image,
applying second stylization to an entirety of the input image and inpainting based on the identified face region to generate an inpainted image; and
performing machine-assisted blending based on the enlarged stylized image from the first data path, the inpainted image from the second data path, and the mask image to obtain a final stylized image.