Invention Grant
- Patent Title: Method for image shape transformation based on generative adversarial network
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Application No.: US17450692Application Date: 2021-10-13
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Publication No.: US12056841B2Publication Date: 2024-08-06
- Inventor: Zhen Qin , Yi Ding , Tianming Zhuang , Fuhu Deng , Zhiguang Qin
- Applicant: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
- Applicant Address: CN Chengdu
- Assignee: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
- Current Assignee: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
- Current Assignee Address: CN Chengdu
- Agency: Bayramoglu Law Offices LLC
- Priority: CN 2110347463.5 2021.03.31
- Main IPC: G06T3/00
- IPC: 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.
Public/Granted literature
- US20220318946A1 METHOD FOR IMAGE SHAPE TRANSFORMATION BASED ON GENERATIVE ADVERSARIAL NETWORK Public/Granted day:2022-10-06
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T3/00 | 在图像平面内的图形图像转换 |