This background chapter covers models that are capable of generating images of a particular class, e.g. MR images of the brain. It concentrates on statistical models of shape and appearance, where models are learnt from sets of example images. The motivation of this approach is presented, followed by technical details of model construction. These models can be used in a variety of ways, which include their ability to synthesise images and interpret images through fitting.