Personalized Representation from Personalized Generation

Learning personalized representations from limited real data. In this paper we explore whether and how synthetic data can be used to train a personalized representation. Given a few real images of an instance, we generate novel images and contrastively fine-tune a general-purpose pretrained model to learn a personalized representation, useful for diverse downstream tasks.