公开(公告)号：US20220180043A1

公开(公告)日：2022-06-09

申请号：US17682422

申请日：2022-02-28

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

Inventor： Licheng TANG ,  Jiaming LIU

IPC: G06F40/109 ,  G06V30/19

Abstract: Provided is a training method for a character generation model, a character generation method, apparatus and device, which relate to the technical field of artificial intelligences, particularly, the technical field of computer vision and deep learning. The specific implementation scheme includes: a first training sample is acquired, a target model is trained based on the first training sample, and a first character confrontation loss is acquired; a second training sample is acquired, the target model is trained based on the second training sample, and a second character confrontation loss, a component classification loss and a style confrontation loss are acquired; and a parameter of the character generation model is adjusted according to the first character confrontation loss, the second character confrontation loss, the component classification loss and the style confrontation loss.

公开(公告)号：US20230114293A1

公开(公告)日：2023-04-13

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

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.

公开(公告)号：US20220270384A1

公开(公告)日：2022-08-25

申请号：US17683945

申请日：2022-03-01

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

Inventor： Jiaming LIU ,  Zhibin HONG ,  Licheng TANG

IPC: G06V30/19 ,  G06V30/32 ,  G06N3/08 ,  G06N3/04

Abstract: The present disclosure discloses a method for training an adversarial network model, a method for building a character library, an electronic device and a storage medium, which relate to a field of artificial intelligence, in particular to a field of computer vision and deep learning technologies, and are applicable in a scene of image processing and image recognition. The method for training includes: generating a new character by using the generation model based on a stroke character sample and a line character sample; discriminating a reality of the generated new character by using the discrimination model; calculating a basic loss based on the new character and a discrimination result; calculating a track consistency loss based on a track consistency between the line character sample and the new character; and adjusting a parameter of the generation model according to the basic loss and the track consistency loss.