US 12,217,466 B2
Portrait stylization framework to control the similarity between stylized portraits and original photo
Jing Liu, Los Angeles, CA (US); Chunpong Lai, Los Angeles, CA (US); Guoxian Song, Singapore (SG); and Linjie Luo, Los Angeles, CA (US)
Assigned to LEMON, INC., Grand Cayman (KY)
Filed by Lemon Inc., Grand Cayman (KY)
Filed on Nov. 5, 2021, as Appl. No. 17/519,711.
Prior Publication US 2023/0146676 A1, May 11, 2023
Int. Cl. G06K 9/00 (2022.01); G06N 3/08 (2023.01); G06T 9/00 (2006.01); G06T 11/60 (2006.01)
CPC G06T 9/002 (2013.01) [G06N 3/08 (2013.01); G06T 11/60 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for generating a stylized image, the method comprising:
receiving an input image;
generating, using a first encoder, a first latent code based on the input image;
generating, using a second encoder, a second latent code based on the input image;
causing a user interface to be displayed;
receiving, via input to the user interface, a blending parameter indicating an amount to blend the first latent code with the second latent code;
blending the first latent code and the second latent code to obtain a blended latent code;
generating, by a generative adversarial network (GAN) generator, a stylized image based on the blended latent code; and
providing the stylized image as an output.