公开(公告)号：US20220318946A1

公开(公告)日：2022-10-06

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 ,  G06N3/04 ,  G06T7/11

Abstract: A method for image shape transformation based on a generative adversarial network includes the following steps: generating a segmentation mask of an image to be transformed; constructing a generator and a discriminator, and constructing the generative adversarial network through the generator and the discriminator; constructing a loss function, and 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.

公开(公告)号：US20210385081A1

公开(公告)日：2021-12-09

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 ,  G06N3/08 ,  G06N3/04 ,  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.