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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.
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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.
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3.发明申请公开(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.
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公开(公告)号：US20210248469A1
公开(公告)日：2021-08-12
申请号：US17241941
申请日：2021-04-27
Inventor： Hongtian YANG , Shengyi HE , Xuejun WANG
Abstract: A method for scheduling deep learning reasoning engines is provided, which involve artificial intelligence, deep learning and chip technology. The specific implementation solution is: determining, in response to a scheduling request for a current reasoning task from an application layer, a type of the current reasoning task; calculating a total load of each of one or more reasoning engines after executing the current reasoning task of the type; comparing the total loads of the one or more reasoning engines to obtain a comparison result, and determining a target reasoning engine for executing the current reasoning task from the one or more reasoning engines according to the comparison result; returning an index of the target reasoning engine to the application layer, in which the index is used to indicate a call path of the target reasoning engine. Further, an electronic device and a chip are provided.
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