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公开(公告)号:US11816908B2
公开(公告)日:2023-11-14
申请号:US17683514
申请日:2022-03-01
Inventor: Licheng Tang , Jiaming Liu
IPC: G06V30/244 , G06V10/774 , G06V10/74 , G06V10/82
CPC classification number: G06V30/245 , G06V10/761 , G06V10/7747 , G06V10/82 , G06V30/2455
Abstract: A method of generating a font database, and a method of training a neural network model are provided, which relate to a field of artificial intelligence, in particular to a computer vision and deep learning technology. The method of generating the font database includes: determining, by using a trained similarity comparison model, a basic font database most similar to handwriting font data of a target user in a plurality of basic font databases as a candidate font database; and adjusting, by using a trained basic font database model for generating the candidate font database, the handwriting font data of the target user, so as to obtain a target font database for the target user.
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公开(公告)号:US11875584B2
公开(公告)日:2024-01-16
申请号:US17682131
申请日:2022-02-28
Inventor: Jiaming Liu , Licheng Tang
IPC: G06V30/244 , G06V30/19 , G06T11/20
CPC classification number: G06V30/245 , G06T11/203 , G06V30/1916 , G06V30/19127 , G06V30/19147 , G06V30/19173
Abstract: Provided are a method for training a font generation model, a method for establishing a font library, and a device. The method for training a font generation model includes the following steps. A source-domain sample character is input into the font generation model to obtain a first target-domain generated character. The first target-domain generated character is input into a font recognition model to obtain the target adversarial loss of the font generation model. The model parameter of the font generation model is updated according to the target adversarial loss.
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公开(公告)号:US20230290029A1
公开(公告)日:2023-09-14
申请号:US17964028
申请日:2022-10-11
Inventor: Henan Zhang , Jiaming Liu , Yunhao Li , Hao Sun
CPC classification number: G06T13/40 , G06V10/44 , G06V10/803 , G06V40/172 , G06V40/176 , G06V40/28
Abstract: A method of generating a virtual idol is provided. The method includes: during obtaining of a virtual idol, feature information of a target object may be obtained, and then the feature information of the target object is used as a generation basis for the virtual idol, so that a target virtual face matching with the feature information may be determined from a preset face material library in a targeted manner, and a target motion video matching with the feature information may be determined from a preset motion video library; and then the virtual face and a facial image in the motion video are fused, which may generate the virtual idol for a scenario where the target object is endorsed, so that the virtual idol may subsequently be used to endorse the target object.
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