Method for image shape transformation based on generative adversarial network

US12056841B2 · kind B2 · utility

Assignee

• University of Electronic Science and Technology of China · CN

Inventors

• Zhen Qin · Chengdu, CN
• Yi Ding
• Tianming Zhuang · Chengdu, CN
• Fuhu Deng · Chengdu, CN
• Zhiguang Qin · Chengdu, CN

Key dates

• Filing date: Oct 13, 2021
• Grant date: Aug 6, 2024
• Expiry date: Nov 19, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/20084
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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.