Abstract: StyleGANs have shown impressive results on data generation and manipulation in recent years, thanks to its disentangled style latent space. A lot of efforts have been made in inverting a ...
Abstract: We propose an alternative generator architecture for generative adversarial networks, borrowing from style transfer literature. The new architecture leads to an automatically learned, ...
Abstract: 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 ...
A powerful desktop application for generating and editing realistic human faces using StyleGAN2-ADA. This project demonstrates the practical application of Generative Adversarial Networks (GANs) for ...
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