Method for translating image and method for training image translation model

    公开(公告)号:US11526971B2

    公开(公告)日:2022-12-13

    申请号:US17107196

    申请日:2020-11-30

    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.

    Method for translating image, method for training image translation model

    公开(公告)号:US11508044B2

    公开(公告)日:2022-11-22

    申请号:US17115996

    申请日:2020-12-09

    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.

    Method and apparatus for generating 3D joint point regression model

    公开(公告)号:US11341718B2

    公开(公告)日:2022-05-24

    申请号:US17021218

    申请日:2020-09-15

    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.

    METHOD AND APPARATUS FOR PROMPTING MOTION, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20210319213A1

    公开(公告)日:2021-10-14

    申请号:US17193214

    申请日:2021-03-05

    Abstract: A method and apparatus for promoting a motion, an electronic device and a storage medium, relating to the field of image recognition technology are provided. An embodiment of the method may include: acquiring a user motion image, and acquiring three-dimensional recognition coordinates of body key points recognized in the user motion image; determining, based on the three-dimensional recognition coordinates, a user motion matching the user motion image; screening, according to a mapping relationship between user motion and body key points, a target body key point among all of the recognized body key points; acquiring three-dimensional standard coordinates of the target body key point corresponding to the user motion; and prompting a motion based on values of differences between the three-dimensional standard coordinates of the target body key point and the three-dimensional recognition coordinates of the target body key point.

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