Towards a Theoretical Understanding of Memorization in Diffusion Models
Towards a Theoretical Understanding of Memorization in Diffusion Models
As diffusion probabilistic models (DPMs) are being employed as mainstream models for Generative Artificial Intelligence (GenAI), the study of their memorization of training data has attracted growing attention. Existing works in this direction aim to establish an understanding of whether or to what extent DPMs learn via memorization. Such an …