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：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：US11978280B2

公开(公告)日：2024-05-07

申请号：US17529192

申请日：2021-11-17

Applicant: Lemon Inc.

Inventor： Jingna Sun ,  Peibin Chen ,  Weihong Zeng ,  Xu Wang ,  Jing Liu ,  Chunpong Lai ,  Shen Sang

IPC: G06K9/46 ,  G06F18/21 ,  G06F18/2113 ,  G06F18/22 ,  G06F18/2431 ,  G06V40/16

CPC classification number: G06V40/172 ,  G06F18/2113 ,  G06F18/217 ,  G06F18/22 ,  G06F18/2431

Abstract: A method is provided for evaluating an effect of classifying a fuzzy attribute of an object, the fuzzy attribute referring to an attribute, a boundary between two similar ones of a plurality of categories of which is blurred, wherein the method includes: generating a similarity-based ranked confusion matrix, which comprises: based on similarities of K categories of the fuzzy attribute of the object, ranking the K categories, where K is an integer greater than or equal to 2, generating a K×K all-zero initialization matrix, wherein an abscissa and an ordinate of the initialization matrix respectively represent predicted values and true values of the similarity-based ranked categories of the fuzzy attribute, and based on the true values and the predicted values of the category of the fuzzy attribute for the multiple object samples, updating values of corresponding elements in the initialization matrix; and displaying the similarity-based ranked confusion matrix.

公开(公告)号：US11928183B2

公开(公告)日：2024-03-12

申请号：US17532537

申请日：2021-11-22

Applicant: LEMON INC.

Inventor： Jingna Sun ,  Weihong Zeng ,  Peibin Chen ,  Xu Wang ,  Chunpong Lai ,  Shen Sang ,  Jing Liu

IPC: G06F18/214 ,  G06F16/532 ,  G06F18/24 ,  G06V40/16

CPC classification number: G06F18/2155 ,  G06F16/532 ,  G06F18/24 ,  G06V40/168

Abstract: An image processing method includes acquiring a set of image samples for training an attribute recognition model, wherein the set of image samples includes a first subset of image samples with category labels and a second subset of image samples without category labels; training a sample prediction model using the first subset of image samples, and predicting categories of the image samples in the second subset of image samples using the trained sample prediction model; determining a category distribution of the set of image samples based on the category labels of the first subset of image samples and the predicted categories of the second subset of image samples; and acquiring a new image sample if the determined category distribution does not conform to the expected category distribution, and adding the acquired new image sample to the set of image samples.

公开(公告)号：US12106545B2

公开(公告)日：2024-10-01

申请号：US17534681

申请日：2021-11-24

Applicant: LEMON INC.

Inventor： Jingna Sun ,  Peibin Chen ,  Weihong Zeng ,  Xu Wang ,  Jing Liu ,  Chunpong Lai ,  Shen Sang

IPC: G06V10/764 ,  G06N3/08 ,  G06V10/72 ,  G06V10/82

CPC classification number: G06V10/764 ,  G06N3/08 ,  G06V10/72 ,  G06V10/82

Abstract: The present disclosure provides a training method and device for an image identifying model, and an image identifying method. The training method comprises: obtaining image samples of a plurality of categories; inputting image samples of each category into a feature extraction layer of the image identifying model to extract a feature vector of each image sample; calculating a statistical characteristic information of an actual distribution function corresponding to each category according to the feature vector of each image sample of the each category; establishing an augmented distribution function corresponding to the each category according to the statistical characteristic information; obtaining augmented sample features of the each category based on the augmented distribution function; and inputting feature vectors of the image samples and the augmented sample features into a classification layer of the image identifying model for supervised learning.

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.