US 12,190,481 B2
Agilegan-based stylization method to enlarge a style region
Guoxian Song, Los Angeles, CA (US); Jing Liu, Los Angeles, CA (US); Weihong Zeng, Beijing (CN); Jingna Sun, Beijing (CN); Xu Wang, Beijing (CN); and Linjie Luo, Los Angeles, CA (US)
Assigned to Lemon Inc., Grand Cayman (KY)
Filed by Lemon Inc., Grand Cayman (KY)
Filed on Jun. 17, 2022, as Appl. No. 17/807,527.
Prior Publication US 2023/0410267 A1, Dec. 21, 2023
Int. Cl. G06T 5/50 (2006.01); G06T 3/4046 (2024.01); G06V 40/16 (2022.01)
CPC G06T 5/50 (2013.01) [G06T 3/4046 (2013.01); G06V 40/168 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30201 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method for enlarging a style region of an image, the method comprising:
receiving an input image;
generating, using a first generative adversarial network (GAN) generator, a first stylized image, based on the input image;
normalizing the input image;
generating, using a second generative adversarial network (GAN) generator, a second stylized image, based on the normalized input image;
extracting a first face parse mask from the first stylized image, wherein the first face parse mask includes one or more stylized features of the first stylized image;
extracting a second face parse mask from the second stylized image, wherein the second face parse mask includes one or more stylized features of the second stylized image;
blending the first stylized image and the second stylized image to obtain a third stylized image, wherein the blending of the first stylized image and the second stylized image is based on the first and second face parse masks; and
providing the third stylized image as an output.