公开(公告)号：US20230206522A1

公开(公告)日：2023-06-29

申请号：US18111958

申请日：2023-02-21

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Licheng TANG ,  Jiaming LIU ,  Taizhang SHANG

IPC: G06T11/20 ,  G06V30/19 ,  G06V30/22

CPC classification number: G06T11/203 ,  G06V30/19147 ,  G06V30/19127 ,  G06V30/22

Abstract: A training method for a handwritten text image generation model includes: obtaining training data including a sample content image, a first sample handwritten text image and a second sample handwritten text image, constructing an initial training model; obtaining a first predicted handwritten text image by inputting the sample content image and the second sample handwritten text image into an initial handwritten text image generation model of the initial training model; obtaining a second predicted handwritten text image by inputting the sample content image and the first sample handwritten text image into an initial handwritten text image reconstruction model of the initial training model; training the initial training model according to the first and second predicted handwritten text images and the first sample handwritten text image; and determining a handwritten text image generation model of the training model after training as a target handwritten text image generation model.