公开(公告)号：WO2022240354A1

公开(公告)日：2022-11-17

申请号：PCT/SG2022/050221

申请日：2022-04-14

Applicant: LEMON INC.

Inventor： LUO, Linjie ,  SONG, Guoxian ,  LIU, Jing ,  MA, Wanchun

IPC: G06N3/04 ,  G06N3/08 ,  G06V10/77 ,  G06K9/62 ,  G06F18/214 ,  G06N3/045 ,  G06N3/047 ,  G06N3/088 ,  G06T11/00 ,  G06T2207/20016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201 ,  G06T3/0006 ,  G06T3/0012 ,  G06T5/00

Abstract: Systems and method directed to an inversion-consistent transfer learning framework for generating portrait stylization using only limited exemplars. In examples, an input image is received and encoded using a variational autoencoder to generate a latent vector. The latent vector may be provided to a generative adversarial network (GAN) generator to generate a stylized image. In examples, the variational autoencoder is trained using a plurality of images while keeping the weights of a pre-trained GAN generator fixed, where the pre-trained GAN generator acts as a decoder for the encoder. In other examples, a multi-path attribute aware generator is trained using a plurality of exemplar images and learning transfer using the pre-trained GAN generator.

公开(公告)号：WO2023080845A2

公开(公告)日：2023-05-11

申请号：PCT/SG2022/050801

申请日：2022-11-04

Applicant: LEMON INC.

Inventor： LIU, Jing ,  LAI, Chunpong ,  SONG, Guoxian ,  LUO, Linjie

Abstract: Systems and methods directed to controlling the similarity between stylized portraits and an original photo are described. In examples, an input image is received and encoded using a variational autoencoder to generate a latent vector. The latent vector may be blended with latent vectors that best represent a face in the original user portrait image. The resulting blended latent vector may be provided to a generative adversarial network (GAN) generator to generate a controlled stylized image. In examples, one or more layers of the stylized GAN generator may be swapped with one or more layers of the original GAN generator. Accordingly, a user can interactively determine how much stylization vs. personalization should be included in a resulting stylized portrait.

公开(公告)号：WO2023063879A2

公开(公告)日：2023-04-20

申请号：PCT/SG2022/050703

申请日：2022-09-29

Applicant: LEMON INC.

Inventor： LIU, Jing ,  LAI, Chunpong ,  SONG, Guoxian ,  LUO, Linjie ,  YUAN, Ye

Abstract: Systems and method directed to generating a stylized image are disclosed. In particular, the method includes, in a first data path, (a) applying first stylization to an input image and (b) applying enlargement to the stylized image from (a). The method also includes, in a second data path, (c) applying segmentation to the input image to identify a face region of the input image and generate a mask image, and (d) applying second stylization to an entirety of the input image and inpainting to the identified face region of the stylized image. Machine-assisted blending is performed based on (1) the stylized image after the enlargement from the first data path, (2) the inpainted image from the second data path, and (3) the mask image, in order to obtain a final stylized image.

公开(公告)号：EP4268136A1

公开(公告)日：2023-11-01

申请号：EP22807950.5

申请日：2022-04-14

Applicant: Lemon Inc.

Inventor： LUO, Linjie ,  SONG, Guoxian ,  LIU, Jing ,  MA, Wanchun

IPC: G06N3/04 ,  G06N3/08 ,  G06V10/77 ,  G06K9/62