公开(公告)号：US20220207790A1

公开(公告)日：2022-06-30

申请号：US17698643

申请日：2022-03-18

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Huaming WU ,  Jun WANG ,  Huabing LU

IPC: G06T11/00 ,  G06F17/14 ,  G06T5/00

Abstract: This application discloses example image generation methods. One example method includes obtaining a target vector. The target vector can then be separately input to a first generator and a second generator to correspondingly generate a first sub-image and a second sub-image, where the first generator is obtained by a server by training, based on a low-frequency image and a first random noise variable that satisfies normal distribution, a first generative adversarial network (GAN), the second generator is obtained by the server by training, based on a high-frequency image and a second random noise variable that satisfies the normal distribution, a second GAN, and a frequency of the low-frequency image is lower than a frequency of the high-frequency image. The first sub-image and the second sub-image can then be synthesized to obtain a target image.