Functional Mean Flow in Hilbert Space
On the map: Diffusion models → Flow matching, time series and science
Abstract (arXiv)
We present Functional Mean Flow (FMF) as a one-step generative model defined in infinite-dimensional Hilbert space. FMF extends the one-step Mean Flow framework to functional domains by providing a theoretical formulation for Functional Flow Matching and a practical implementation for efficient training and sampling. We also introduce an x1-prediction variant that improves stability over the original u-prediction form. The resulting framework is a practical one-step Flow Matching method applicable to a wide range of functional data generation tasks such as time series, images, PDEs, and 3D geometry.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Placed in Flow matching, time series and science, one of 14 directions in Diffusion models. Builds on 47 of its 58 references that are in the map. First posted on arXiv 17 Nov 2025.
Builds on
47 of 58 references.
Closest ancestors · 5
Same direction, newest first
- 2024Consistency Flow Matching: Defining Straight Flows with Velocity Consistency2 Jul
- 2024Flow map matching with stochastic interpolants: A mathematical framework for consistency models11 Jun
- 2023Functional Flow Matching26 May
- 2022Flow Matching for Generative Modeling6 Oct
- 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow7 Sep
Other references · 42
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- 2015ShapeNet: An Information-Rich 3D Model Repositorycited by 2,897
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Built on by
Citing papers per year: 2026: 5.
5 papers.
- 2026Trajectory Consistency for One-Step Generation on Euler Mean Flowscited by 2
- 2026Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Spacecited by 1
- 2026Discretization and Statistical Consistency of Functional Flow Matchingcited by 1
- 2026A Few-Step Generative Model on Cumulative Flow Mapscited by 0
- 2026SNaP: One-Step Posterior Sampling for Noisy Inverse Problemscited by 0
- 2026SNaP: One-Step Posterior Sampling for Noisy Inverse Problems28 Sep 2026
- 2026Discretization and Statistical Consistency of Functional Flow Matching5 Aug 2026
- 2026A Few-Step Generative Model on Cumulative Flow Maps5 May 2026
- 2026Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space7 Apr 2026
- 2026Trajectory Consistency for One-Step Generation on Euler Mean Flows31 Jan 2026
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