Expanding Flow Maps
Flow-based generative models have enabled remarkable progress in fast and controllable generation across continuous and discrete state spaces, yet existing parameterizations are constrained to fixed dimensions or fixed sequence lengths. Here, we introduce Expanding Generative Flows (EFlows), which define flows between distributions of increasing dimensionality along an expanding interpolant that grows the state by augmenting it with conditional noise. Building on this construction, we propose Expanding Flow Maps (EFMs), a new class of flow maps that distill the expanding interpolant into effic
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- PossiblePossibly related (embedding) · 46%FLUX 3 - Real World Models: Towards Multimodal Flow Models as the Backbone of Visual Intelligence →
- LinkedLinked via arxiv author · 85%Sophia Tang →
“Expanding Flow Maps”
- LinkedLinked via arxiv author · 85%Pranam Chatterjee →
“Expanding Flow Maps”