Flow Matching (FM) is a generative modelling technique that aims to learn how to sample from a target distribution by flowing samples from an easy-to-sample distribution.
Existing FM methods use straight line segments or geodesics for flow matching, but they are only well-defined on Euclidean space or Riemannian manifolds.
The alternative approach in this work is to apply FM on Lie groups by using exponential curves instead of straight line segments, leading to a simple and fast implementation using matrix operations.
FM on Lie groups can be used for generative modelling with data consisting of sets of features and poses.