Learning Distributions on Manifolds with Free-Form Flows

We propose Manifold Free-Form Flows (M-FFF), a simple new generative model for data on manifolds. The existing approaches to learning a distribution on arbitrary manifolds are expensive at inference time, since sampling requires solving a differential equation. Our method overcomes this limitation b...

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Veröffentlicht in:	arXiv.org 2024-11
Hauptverfasser:	Sorrenson, Peter, Draxler, Felix, Rousselot, Armand, Sander Hummerich, Köthe, Ullrich
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer vision Differential equations Free form Learning Riemann manifold Toruses
Online-Zugang:	Volltext
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