LDDMM stochastic interpolants: an application to domain uncertainty quantification in hemodynamics

Sarah Katz, Francesco Romor, Jia-Jie Zhu +1

We introduce a novel conditional stochastic interpolant framework for generative modeling of three-dimensional shapes. The method builds on a recent LDDMM-based registration approa…