Aligning Latent Spaces with Flow Priors

Yizhuo Li, Yuying Ge, Yixiao Ge +2

This paper presents a novel framework for aligning learnable latent spaces to arbitrary target distributions by leveraging flow-based generative models as priors. Our method first…