公开(公告)号：US12190481B2

公开(公告)日：2025-01-07

申请号：US17807527

申请日：2022-06-17

Applicant: Lemon Inc.

Inventor： Guoxian Song ,  Jing Liu ,  Weihong Zeng ,  Jingna Sun ,  Xu Wang ,  Linjie Luo

IPC: G06T5/50 ,  G06T3/4046 ,  G06V40/16

Abstract: Methods and systems for enlarging a stylized region of an image are disclosed that include 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, blending the first stylized image and the second stylized image to obtain a third stylized image, and providing the third stylized image as an output.

公开(公告)号：US12169907B2

公开(公告)日：2024-12-17

申请号：US17534631

申请日：2021-11-24

Applicant: Lemon Inc.

Inventor： Guoxian Song ,  Jing Liu ,  Chunpong Lai ,  Linjie Luo

IPC: G06T5/50 ,  G06N3/045 ,  G06T3/00 ,  G06T3/04 ,  G06V10/774 ,  G06V10/82

Abstract: Methods and systems for generating a texturized image are disclosed. Some examples may include: receiving an input image, receiving an exemplar texture image, generating, using an encoder, a first latent code vector representation based on the input image, generating, using a generative adversarial network generator, a second latent code vector representation based on the exemplar texture image, blending the first latent code vector representation and the second latent code vector representation to obtain a blended latent code vector representation, generating, by the GAN generator, a texturized image based on the blended latent code vector representation and providing the texturized image as an output image.

公开(公告)号：US20230162320A1

公开(公告)日：2023-05-25

申请号：US17534631

申请日：2021-11-24

Applicant: Lemon Inc.

Inventor： Guoxian Song ,  Jing Liu ,  Chunpong Lai ,  Linjie Luo

IPC: G06T3/00 ,  G06N3/04 ,  G06T5/50

CPC classification number: G06T3/00 ,  G06N3/0454 ,  G06T5/50

Abstract: Methods and systems for generating a texturized image are disclosed. Some examples may include: receiving an input image, receiving an exemplar texture image, generating, using an encoder, a first latent code vector representation based on the input image, generating, using a generative adversarial network generator, a second latent code vector representation based on the exemplar texture image, blending the first latent code vector representation and the second latent code vector representation to obtain a blended latent code vector representation, generating, by the GAN generator, a texturized image based on the blended latent code vector representation and providing the texturized image as an output image.

公开(公告)号：US12299799B2

公开(公告)日：2025-05-13

申请号：US18046073

申请日：2022-10-12

Applicant: Lemon Inc. ,  Beijing Zitiao Network Technology Co., Ltd.

Inventor： Shen Sang ,  Tiancheng Zhi ,  Guoxian Song ,  Jing Liu ,  Linjie Luo ,  Chunpong Lai ,  Weihong Zeng ,  Jingna Sun ,  Xu Wang

IPC: G06T15/00 ,  G06T7/62 ,  G06V10/56 ,  G06V10/74 ,  G06V10/75

Abstract: A method of generating a stylized 3D avatar is provided. The method includes receiving an input image of a user, generating, using a generative adversarial network (GAN) generator, a stylized image, based on the input image, and providing the stylized image to a first model to generate a first plurality of parameters. The first plurality of parameters include a discrete parameter and a continuous parameter. The method further includes providing the stylized image and the first plurality of parameters to a second model that is trained to generate an avatar image, receiving, from the second model, the avatar image, comparing the stylized image to the avatar image, based on a loss function, to determine an error, updating the first model to generate a second plurality of parameters that correspond to the first plurality of parameters, based on the error, and providing the second plurality of parameters as an output.

公开(公告)号：US11954828B2

公开(公告)日：2024-04-09

申请号：US17501990

申请日：2021-10-14

Applicant: Lemon Inc.

Inventor： Jing Liu ,  Chunpong Lai ,  Guoxian Song ,  Linjie Luo ,  Ye Yuan

IPC: G06T5/00 ,  G06T3/40 ,  G06T5/50 ,  G06T7/11 ,  G06T11/00

CPC classification number: G06T5/005 ,  G06T3/40 ,  G06T5/50 ,  G06T7/11 ,  G06T11/001 ,  G06T2207/10024 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06T2207/30201

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：US20240096018A1

公开(公告)日：2024-03-21

申请号：US17932640

申请日：2022-09-15

Applicant: Lemon Inc.

Inventor： Tiancheng Zhi ,  Shen Sang ,  Guoxian Song ,  Chunpong Lai ,  Jing Liu ,  Linjie Luo

IPC: G06T17/20

CPC classification number: G06T17/20 ,  G06T2210/62

Abstract: Systems and methods for rendering a translucent object are provided. In one aspect, the system includes a processor coupled to a storage medium that stores instructions, which, upon execution by the processor, cause the processor to receive at least one mesh representing at least one translucent object. For each pixel to be rendered, the processor performs a rasterization-based differentiable rendering of the pixel to be rendered using the at least one mesh and determines a plurality of values for the pixel to be rendered based on the rasterization-based differentiable rendering. The rasterization-based differentiable rendering can include performing a probabilistic rasterization process along with aggregation techniques to compute the plurality of values for the pixel to be rendered. The plurality of values includes a set of color channel values and an opacity channel value. Once values are determined for all pixels, an image can be rendered.

公开(公告)号：US20230146676A1

公开(公告)日：2023-05-11

申请号：US17519711

申请日：2021-11-05

Applicant: Lemon Inc.

Inventor： Jing Liu ,  Chunpong Lai ,  Guoxian Song ,  Linjie Luo

IPC: G06T9/00 ,  G06T11/60 ,  G06N3/08

CPC classification number: G06T9/002 ,  G06T11/60 ,  G06N3/08

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.