EFMs enable flow-based models to generate variable-length outputs by decomposing generation into expandable state spaces, making output size a learnable parameter rather than a fixed constraint.
This paper introduces Expanding Generative Flows (EFlows) and Expanding Flow Maps (EFMs), a new framework for flow-based generative models that can generate outputs of varying sizes.