Serim Park

Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint

In this paper, we propose a generative model in the space of diffeomorphic deformation maps. More precisely, we utilize the Kantarovich-Wasserstein metric and accompanying geometry to represent an image as a deformation from templates. Moreover, we incorporate a probabilistic viewpoint by assuming t…