Preprint
Sep 2026
Unlocking Geodesic Gromov-Wasserstein Distances for 3D Modeling
\textit{Gromov-Wasserstein Distances} (GWDs) provide quantitative ways of comparing probabilistic distributions defined on different metric spaces by applying techniques from the optimal transport theory. As such, GWD can be potentially useful in a large variety of applications ranging from graph matching problems to 3...
Krzysztof Choromanski, Derek Long, Ananya Parashar et al.
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