On Designing Diffusion Autoencoders for Efficient Generation and Representation Learning

Magdalena Proszewska, Nikolay Malkin, N. Siddharth

Diffusion autoencoders (DAs) are variants of diffusion generative models that use an input-dependent latent variable to capture representations alongside the diffusion process. The…