Geometry-Aware GAN for Face Attribute Transfer

Geometry-Aware GAN for Face Attribute Transfer

In this paper, the geometry-aware GAN, referred to as GAGAN, is proposed to address the issue of face attribute transfer with unpaired data. The source and target images are not aligned and come from different individuals. The key idea is to deform the source image according to the geometry features...

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Bibliographic Details
Main Authors: Danlan Huang, Xiaoming Tao, Jianhua Lu, Minh N. Do
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Face generation
attribute transfer
GAN
warping
geometry-aware
Online Access:https://ieeexplore.ieee.org/document/8843985/

Internet

https://ieeexplore.ieee.org/document/8843985/

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