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公开(公告)号：US20240362826A1
公开(公告)日：2024-10-31
申请号：US18355345
申请日：2023-07-19
Applicant: Lemon Inc.
Inventor： Zichun Wang , Xiaotong Ma , Kin Chung Wong , Jonathan Guzi , Jing Liu , Hao Qiu , Siqi Tan , Siyuan Chen
IPC: G06T11/00 , G06F3/0482
CPC classification number: G06T11/00 , G06F3/0482 , G06Q50/01 , G06T2200/24
Abstract: A server device provides a social media platform. The server device includes one or more processors configured to execute instructions stored in associated memory to send instructions to a client device to cause the client device to display a graphical user interface (GUI) of the social media platform, receive at least one image of a face of a user of the client device and a selection of at least one predetermined style via the GUI, using the at least one image and the at least one predetermined style as input, generate a plurality of artificial intelligence (AI) profile pictures via an AI model, and send the plurality of AI profile pictures to the client device.
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公开(公告)号：US20240242452A1
公开(公告)日：2024-07-18
申请号：US18155400
申请日：2023-01-17
Applicant: Lemon Inc.
Inventor： Tiancheng Zhi , Rushikesh Dudhat , Jing Liu , Linjie Luo
CPC classification number: G06T19/20 , A63F13/52 , G06N3/045 , G06N3/0475 , G06N3/094 , G06T17/00 , G06T2219/2024
Abstract: Three-dimensional (3D) avatars may be produced by stylizing a dataset of images based on a user-input text prompt input to a stable diffusion model, and using the output stylized dataset of images to train an efficient geometry-aware 3D generative adversarial network (EG3D) model.
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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
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.
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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.
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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.
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Patent Agency Ranking
16.发明公开公开(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
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.
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公开(公告)号：US12260485B2
公开(公告)日：2025-03-25
申请号：US18046077
申请日：2022-10-12
Applicant: Lemon Inc.
Inventor： Guoxian Song , Shen Sang , Tiancheng Zhi , Jing Liu , Linjie Luo
Abstract: A method of generating a style image is described. The method includes receiving an input image of a subject. The method further includes encoding the input image using a first encoder of a generative adversarial network (GAN) to obtain a first latent code. The method further includes decoding the first latent code using a first decoder of the GAN to obtain a normalized style image of the subject, wherein the GAN is trained using a loss function according to semantic regions of the input image and the normalized style image.
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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.
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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
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.
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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.
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