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公开(公告)号：US20210374920A1
公开(公告)日：2021-12-02
申请号：US17115996
申请日：2020-12-09
Inventor： Shaoxiong YANG , Chen ZHAO
Abstract: A method for translating an image, a method for training an image translation model, and related electronic devices are proposed. In the method for translating an image, an image translation request carrying an original image is obtained. A down-sampled image is generated by down sampling the original image. A pre-translated image, a mask image, and deformation parameters are generated based on the down-sampled image. A size of the pre-translated image and a size of the mask image are the same as a size of the original image. A deformed image is obtained by deforming original image based on the deformation parameters. The deformed image, the pre-translated image and the mask image are fused to generate a target translation image.
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Patent Agency Ranking
公开(公告)号：US20210225069A1
公开(公告)日：2021-07-22
申请号：US17021218
申请日：2020-09-15
Inventor： Qingyue MENG , Chen ZHAO
Abstract: A method and apparatus for generating a 3D joint point regression model are provided. An embodiment of the method includes: acquiring a sample image with a 2D label and a sample image with a 3D label; training part of channels of an output layer of a basic 3D joint point regression model, with the sample image with the 2D label as a first input, and with a joint point heat map set corresponding to the 2D label as a first expected output; and training all of the channels of the output layer, with the sample image with the 3D label as a second input, with a joint point heat map set corresponding to the 3D label as a first part output of a second expected output and with a joint point depth information map set corresponding to the 3D label as a second part output of the second expected output.
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公开(公告)号：US20210375042A1
公开(公告)日：2021-12-02
申请号：US17249714
申请日：2021-03-10
Inventor： Ruizhi CHEN , Chen ZHAO
Abstract: Embodiments of a method and apparatus for generating a virtual avatar, a device and a storage medium are provided. The method may include: determining a template coefficient of a target face in a to-be-processed image based on at least two real face feature templates; and determining a virtual avatar of the target face according to the template coefficient and at least two virtual face feature templates associated with the at least two real face feature templates.
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公开(公告)号：US20210374924A1
公开(公告)日：2021-12-02
申请号：US17107196
申请日：2020-11-30
Inventor： Shaoxiong YANG , Chen ZHAO
Abstract: The present disclosure provides a computer-implemented method for translating an image and a computer-implemented method for training an image translation model. In the computer-implemented method for translating an image, an image translation request carrying an original image is obtained. The original image is processed to generate a pre-translated image, a mask image and a deformation parameter. The original image is deformed based on the deformation parameter to obtain a deformed image. The deformed image, the pre-translated image and the mask image are merged to generate a target translated image.
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公开(公告)号：US20210201161A1
公开(公告)日：2021-07-01
申请号：US17204223
申请日：2021-03-17
Inventor： Qingyue Meng , Chen ZHAO
Abstract: A method, an apparatus, an electronic device, and a computer readable storage medium for constructing a key-point learning model are provided. The method includes: acquiring labeled data labeling a human-body key-point and unlabeled data that does not label the human-body key-point; training, using the labeled data, an initial prediction model and an initial discriminator in a supervised training way to obtain a first prediction model and a first discriminator; training, using the unlabeled data, the first prediction model and the first discriminator in an unsupervised training way to obtain a second prediction model and a second discriminator; and constructing a key-point learning model according to the second prediction model and the second discriminator.
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公开(公告)号：US20200301514A1
公开(公告)日：2020-09-24
申请号：US16791128
申请日：2020-02-14
Inventor： Chen ZHAO , Shaoxiong YANG , Yuan GAO
Abstract: The present disclosure provides a gesture recognition method, a device, an electronic device, and a storage medium. The method includes: sequentially performing a recognition process on each image from a target video using a preset recognition model of palm orientation to determine a probability of containing a palm image in each image and a palm normal vector corresponding to each image; determining a group of target images from the target video based on the probability of containing the palm image in each image; and determining a target gesture corresponding to the target video based on the palm normal vector corresponding to each target image in the group of target images.
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