One beneﬁt of cascaded models is that each diffusion model can be trained independently, allowing
one to train all 7 models in parallel. Additionally, our super-resolution models are general purpose
video super-resolution models, and they can be applied to real videos or samples from generative
models other than the ones presented in this paper. This is similar to how Imagen’s super-resolution
models helped improve the ﬁdelity of the images generated by Parti (Yu et al., 2022), which is an
autoregressive text-to-image model. We intend to explore hybrid pipelines of multiple model classes
further in future work.
IMAGEN VIDEO- HIGH DEFINITION VIDEO GENERATION WITH DIFFUSION MODELS