Scaling-based Data Augmentation for Generative Models and its Theoretical Extension

Yoshitaka Koike, Takumi Nakagawa, Hiroki Waida +1

This paper studies stable learning methods for generative models that enable high-quality data generation. Noise injection is commonly used to stabilize learning. However, selectin…