公开(公告)号：US20230410267A1

公开(公告)日：2023-12-21

申请号：US17807527

申请日：2022-06-17

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

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

IPC: G06T5/50 ,  G06T3/40 ,  G06V40/16

CPC classification number: G06T5/50 ,  G06T3/4046 ,  G06V40/168 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06T2207/20081 ,  G06T2207/20221 ,  G06T2207/30201

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：US20240135621A1

公开(公告)日：2024-04-25

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

CPC classification number: G06T15/00 ,  G06T7/62 ,  G06V10/56 ,  G06V10/751 ,  G06V10/761 ,  G06T2207/10024 ,  G06T2207/30201

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：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：US20250111594A1

公开(公告)日：2025-04-03

申请号：US18960473

申请日：2024-11-26

Applicant: Beijing Zitiao Network Technology Co., Ltd.

Inventor： Weihong Zeng ,  Xu Wang

IPC: G06T15/20 ,  G06T13/40 ,  G06V10/75 ,  G06V40/16

Abstract: Embodiments of the present disclosure disclose a virtual avatar rendering method and apparatus, an electronic device, and a storage medium. The method includes: obtaining at least one component in a facial image; obtaining a grid image corresponding to the facial image by converting the at least one component into a grid component; and generating a virtual avatar based on the grid image and rendering the virtual avatar.