Generative Adversarial Network for Multi Facial Attributes Translation

Generative Adversarial Network for Multi Facial Attributes Translation

Recently, Generative Adversarial Network (GAN) based approaches are applied in facial attribute translation. However, many tasks, i.e. multi facial attributes translation and background invariance, are not well handled in the literature. In this paper, we propose a novel GAN-based method that aims t...

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Bibliographic Details
Main Authors: Jun Liu, Xiaoyang Liu, Yanjun Feng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
GAN
deep learning
facial attribute translation
loss optimization
Online Access:https://ieeexplore.ieee.org/document/9537764/

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