-
公开(公告)号:US20220084274A1
公开(公告)日:2022-03-17
申请号:US17191444
申请日:2021-03-03
Inventor: Tianshu HU , Mingming MA , Shengyi HE , Hanqi GUO , Tonghui LI , Zhibin HONG
Abstract: A method and apparatus for processing character image data are provided. A specific embodiment of the method can include: acquiring a video including character images of a first character as first data, and acquiring a video including character images of a second character as second data, the video including character images of the first character including a plurality of types of movement-state images; replacing a head image extracted from the first data with a head image extracted from the second data; replacing a face extracted from the first data with a face extracted from the second data; and replacing the face in the replaced head image with the replaced face to obtain a target head image.
-
公开(公告)号:US20210201912A1
公开(公告)日:2021-07-01
申请号:US17204771
申请日:2021-03-17
Inventor: Tianshu HU , Mingming MA , Tonghui LI , Zhibin HONG
Abstract: The application provides a virtual object image display method and apparatus, an electronic device and a storage medium, relates to the field of artificial intelligence, in particular to the field of computer vision and deep learning, and may be applied to virtual object dialogue scenarios. The specific implementation scheme includes: segmenting acquired voice to obtain voice segments; predicting lip shape sequence information for the voice segments; searching for a corresponding lip shape image sequence based on the lip shape sequence information; performing lip fusion between the lip shape image sequence and a virtual object baseplate to obtain a virtual object image; displaying the virtual object image. The application improves ability to obtain virtual object image.
-
公开(公告)号:US20210209423A1
公开(公告)日:2021-07-08
申请号:US17210827
申请日:2021-03-24
Inventor: Kun YAO , Zhibin HONG , Jieting XUE
Abstract: Embodiments of the present disclosure provide a method for training a face fusion model and an electronic device. The method includes: performing a first face changing process on a user image and a template image to generate a reference template image; adjusting poses of facial features of the template image based on the reference template image to generate a first input image; performing a second face changing process on the template image to generate a second input image; inputting the first input image and the second input image into a generator of an initial face fusion model to generate a fused face area image; and inputting the fused image and the template image into a discriminator of the initial face fusion model to obtain a result, and performing backpropagation correction on the initial face fusion model based on the result to generate a face fusion model.
-
公开(公告)号:US20190026606A1
公开(公告)日:2019-01-24
申请号:US16029066
申请日:2018-07-06
Inventor: Zhibin HONG , Jingtuo LIU
Abstract: The present disclosure provides a to-be-detected information generating method and apparatus, a living body detecting method and apparatus, a device and a storage medium, wherein the method comprises: obtaining a user's to-be-detected information, the to-be-detected information including human face video shot with a smart terminal and movement information of the smart terminal during the shooting of the human face video, wherein a user needs to move the smart terminal as required during the shooting of human face video; determining whether the human face in the human face video is a living body according to the to-be-detected information. The solution of the present disclosure can be applied to improve accuracy of the detection results.
-
公开(公告)号:US20210398335A1
公开(公告)日:2021-12-23
申请号:US17241398
申请日:2021-04-27
Inventor: Tianshu HU , Jiaming LIU , Shengyi HE , Zhibin HONG
Abstract: A face editing method, an electronic device and a readable storage medium, which relate to the field of image processing and deep learning technologies, are disclosed. A face editing implementation in the present disclosure includes: acquiring a face image in an image to be processed; converting an attribute of the face image according to an editing attribute to generate an attribute image; segmenting semantically the attribute image, and then processing a semantic segmentation image according to the editing attribute to generate a mask image; and merging the attribute image with the image to be processed using the mask image to generate a result image.
-
6.
公开(公告)号:US20210398334A1
公开(公告)日:2021-12-23
申请号:US17241211
申请日:2021-04-27
Inventor: Shengyi HE , Jiaming LIU , Tianshu HU , Zhibin HONG
Abstract: A method for creating an image editing model, an electronic device and a computer-readable storage medium, which relates to the fields of image processing and deep learning technologies, are disclosed. According to an embodiments, the method for creating an image editing model includes: acquiring a training sample including a first image and a second image corresponding thereto; creating a generative adversarial network including a generator and a discriminator, and the generator includes a background image generation branch, a mask image generation branch and a foreground image generation branch; and training the generative adversarial network with the first image and the second image corresponding thereto, and taking the generator in the trained generative adversarial network as the image editing model.
-
公开(公告)号:US20210312707A1
公开(公告)日:2021-10-07
申请号:US17304295
申请日:2021-06-17
Inventor: Borong LIANG , Zhibin HONG , Zhizhi GUO
Abstract: A method, an apparatus, a device and a storage medium for three-dimensional reconstruction are provided. The method may include: acquiring a sequence of RGBD images of a target; determining a set of first three-dimensional key points of the target on each RGBD image for the each RGBD image in the sequence of the RGBD images; transferring the set of the first three-dimensional key points to a camera coordinate system to obtain a set of second three-dimensional key points of the target in the camera coordinate system; calculating an Euler angle of the each RGBD image based on the set of the second three-dimensional key points; selecting an RGBD image based on the Euler angle; and performing three-dimensional reconstruction of the target based on the selected RGBD image to obtain a three-dimensional model of the target.
-
公开(公告)号:US20210209774A1
公开(公告)日:2021-07-08
申请号:US17206267
申请日:2021-03-19
Inventor: Mingming MA , Zhibin HONG
Abstract: An image adjustment method and apparatus, an electronic device and a storage medium are provided. The image adjustment method includes: generating a combination image of a target person and a target clothing based on a target clothing image and a target person image; obtaining an adjustment parameter of the target clothing in the target clothing image based on image features of the target clothing image and image features of the combination image; obtaining a deformation image of the target clothing according to the adjustment parameter and the target clothing image.
-
公开(公告)号:US20210133433A1
公开(公告)日:2021-05-06
申请号:US15930714
申请日:2020-05-13
Inventor: Shihu LI , Xiangda YAN , Yuanzhang CHANG , Zhibin HONG , Tianshu HU , Kun YAO , Junyu HAN , Jingtuo LIU , Shengxian ZHU
Abstract: A method, an electronic device and a storage medium for expression driving are disclosed. The method may include: performing facial key point detection on a driven character in a first image to obtain a first facial key point sequence; performing the following processing for each second image of a plurality of second images obtained successively: performing facial key point detection on a driving character in the second image to obtain a second facial key point sequence; obtaining a difference between the second facial key point sequence and an expressionless key point sequence which has been determined previously according to an analysis on the second facial key point sequence for a previous second image, and performing expression drive rendering on the driven character based on the difference and the first facial key point sequence. The technical solution may enhance flexibility, interactivity, accuracy etc.
-
-
-
-
-
-
-
-