1:40 PM - 2:00 PM
[DES1/AIS1-3L(Invited)] Image Generation with a Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
Image generation, Generative adversarial network, Deep learning, Self-supervised learning
Generative Adversarial Network(GAN) is an effective method to obtain an image generation model. We propose a novel GAN training scheme that can handle real images with any level of labeling in a unified manner by introducing a form of artificial labeling. Our scheme consistently improves the quality of generated images.