AI RESEARCH
Strong Stochastic Flow Maps
arXiv CS.AI
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ArXi:2606.01086v1 Announce Type: cross Flow and diffusion models generate high-quality samples in many modalities; however, many network evaluations are required during inference due to numerical integration of an underlying differential equation. Flow maps alleviate this problem by learning the solution map of the differential equation directly, enabling few-step sampling. Yet, current methods are restricted to approximating the solution map of ODEs.