Poster
in
Workshop: Structured Probabilistic Inference and Generative Modeling
On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization
Chieh-Hsin Lai · Yuhta Takida · Toshimitsu Uesaka · Naoki Murata · Yuki Mitsufuji · Stefano Ermon
Keywords: [ Fokker-Planck Equation ] [ Consistency ] [ Diffusion Models ] [ Score-based Models ]
The emergence of various notions of "consistency" in diffusion models has garnered considerable attention and helped achieve improved sample quality, likelihood estimation, and accelerated sampling. Although similar concepts have been proposed in the literature, the precise relationships among them remain unclear. In this study, we establish theoretical connections between three recent "consistency" notions designed to enhance diffusion models for distinct objectives. Our insights offer the potential for a more comprehensive and encompassing framework for consistency-type models.