ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN

In this research work, we proposed a novel ChildGAN, a pair of GAN networks for generating synthetic boys and girls facial data derived from StyleGAN2. ChildGAN is built by performing smooth domain transfer using transfer learning. It provides photo-realistic, high-quality data samples. A large-scal...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Muhammad Ali Farooq, Wang Yao, Gabriel Costache, Peter Corcoran
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Dataset GANs GDPR transformations transfer learning
Online Access:	https://ieeexplore.ieee.org/document/10268402/