公开(公告)号：US12028451B2

公开(公告)日：2024-07-02

申请号：US17336339

申请日：2021-06-02

Applicant: University of Electronic Science and Technology of China

Inventor： Yi Ding ,  Zhen Qin ,  Fuyuan Tan ,  Fuhu Deng ,  Zhiguang Qin

IPC: H04L9/08 ,  G06N3/045 ,  G06N3/084 ,  G16H30/20

CPC classification number: H04L9/0869 ,  G06N3/045 ,  G06N3/084 ,  G16H30/20

Abstract: A key generation method based on a deep learning generative adversarial network includes: preparing a training set image; construction of a key generation network: constructing the key generation network according to a generator network and a discriminator network, and inputting the training set image to the key generation network; and training of the key generation network: training the key generation network by a deep learning method to generate a key.

公开(公告)号：US12056841B2

公开(公告)日：2024-08-06

申请号：US17450692

申请日：2021-10-13

Applicant: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA

Inventor： Zhen Qin ,  Yi Ding ,  Tianming Zhuang ,  Fuhu Deng ,  Zhiguang Qin

IPC: G06T3/00 ,  G06N3/045 ,  G06T7/11

CPC classification number: G06T3/00 ,  G06N3/045 ,  G06T7/11

Abstract: A generative adversarial network used for image shape transformation. The image shape transformation includes generating a segmentation mask of an image to be transformed and constructing a generator and a discriminator. The image shape transformation further includes constructing the generative adversarial network through the generator and the discriminator, constructing a loss function, training the generative adversarial network by a gradient descent method according to the loss function, and inputting the segmentation mask of the image to be transformed into the trained generative adversarial network to obtain an image shape transformation result.