Multi-Process Training GAN for Identity-Preserving Face Synthesis

Multi-Process Training GAN for Identity-Preserving Face Synthesis

Recently, the advent of generative adversarial networks (GANs) in synthesizing identity-preserving faces has aroused the considerable interest of many scholars. However, face attribute representation learning, which is explicitly disentangled from identity feature and synthesizes identity-preserving...

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Bibliographic Details
Main Authors: Zhiyong Tang, Jianbing Yang, Zhongcai Pei, Xiao Song, Baoshuang Ge
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Multi-process training
disentangled representation
diversity and quality
identity-preserving
Online Access:https://ieeexplore.ieee.org/document/8768064/

Internet

https://ieeexplore.ieee.org/document/8768064/

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