Integrating Latent Priors with Diffusion Models: Residual Prior Diffusion Framework

This research explores a novel framework, Residual Prior Diffusion, to improve diffusion models by incorporating coarse latent priors. The integration of such priors could lead to more efficient and controllable generative models.

• •Proposes a new probabilistic framework called Residual Prior Diffusion.
• •Aims to enhance diffusion models by incorporating latent priors.
• •Potentially improves the efficiency and controllability of generative models.