I. Introduction
This contribution focuses on generative machine learning models applied to images. In the original sense of the term (see [2]), this implies that a learning algorithms aims at explicitly modeling the distribution of the data. This includes sampling from this distribution, but is by no means limited to this function. Most prominently, the direct modeling of the distribution itself allows outlier detection and inference.