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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：US12148095B2
公开(公告)日：2024-11-19
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
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：US20240273871A1
公开(公告)日：2024-08-15
申请号：US18168867
申请日：2023-02-14
Applicant: Lemon Inc.
Inventor： Guoxian Song , Hongyi Xu , Jing Liu , Tiancheng Zhi , Yichun Shi , Jianfeng Zhang , Zihang Jiang , Jiashi Feng , Shen Sang , Linjie Luo
CPC classification number: G06V10/7715 , G06V10/28 , G06V10/454
Abstract: A method for generating a multi-dimensional stylized image. The method includes providing input data into a latent space for a style conditioned multi-dimensional generator of a multi-dimensional generative model and generating the multi-dimensional stylized image from the input data by the style conditioned multi-dimensional generator. The method further includes synthesizing content for the multi-dimensional stylized image using a latent code and corresponding camera pose from the latent space to formulate an intermediate code to modulate synthesis convolution layers to generate feature images as multi-planar representations and synthesizing stylized feature images of the feature images for generating the multi-dimensional stylized image of the input data. The style conditioned multi-dimensional generator is tuned using a guided transfer learning process using a style prior generator.
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Patent Agency Ranking
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
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.
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公开(公告)号：US20240160662A1
公开(公告)日：2024-05-16
申请号：US18054592
申请日：2022-11-11
Applicant: Lemon Inc.
Inventor： Kin Chung Wong , Blake Garrett Fuselier , Jing Liu , Jeffrey Jia-Jun Chen , Celong Liu , Tiancheng Zhi
IPC: G06F16/58 , G06F16/532 , G06F16/538 , G06F40/205 , G06T15/00
CPC classification number: G06F16/5866 , G06F16/532 , G06F16/538 , G06F40/205 , G06T15/00
Abstract: A graphics-specific search engine receives a search input from a user account for a media platform, determines a search query parsed from the input, and searches a graphics-specific database for existing images that correspond to the search query. An image generator generates new images that correspond to the search query when the search result does not exceed a predetermined number. A graphics display engine sends a plurality of the images to an instance of an account for a media platform.
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公开(公告)号：US20240135627A1
公开(公告)日：2024-04-25
申请号：US18046077
申请日：2022-10-12
Applicant: Lemon INc.
Inventor： Guoxian SONG , Shen Sang , Tiancheng Zhi , Jing Liu , Linjie Luo
CPC classification number: G06T15/02 , G06T7/11 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201
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：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：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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