公开(公告)号：US11816908B2

公开(公告)日：2023-11-14

申请号：US17683514

申请日：2022-03-01

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

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.

公开(公告)号：US11875584B2

公开(公告)日：2024-01-16

申请号：US17682131

申请日：2022-02-28

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

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.