Comment by diyer22

Thanks for the idea, but DDN and flow can’t be flipped into each other that easily.

1. DDN doesn’t need to be invertible. 2. Its latent is discrete, not continuous. 3. As far as I know, flow keeps input and output the same size so it can compute log|detJ|. DDN’s latent is 1-D and discrete, so that condition fails. 4. To me, “hierarchical many-shot generation + split-and-prune” is simpler and more general than “invertible design + log|detJ|.” 5. Your design seems to have abandoned the characteristics of DDN. (ZSCG, 1D tree latent, lossy compression)

The two designs start from different premises and are built differently. Your proposal would change so much that whatever came out wouldn’t be DDN any more.