April 9, 2024, 4:48 a.m. | Olaf D\"unkel, Tim Salzmann, Florian Pfaff

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.05675v1 Announce Type: new
Abstract: Normalizing flows have proven their efficacy for density estimation in Euclidean space, but their application to rotational representations, crucial in various domains such as robotics or human pose modeling, remains underexplored. Probabilistic models of the human pose can benefit from approaches that rigorously consider the rotational nature of human joints. For this purpose, we introduce HuProSO3, a normalizing flow model that operates on a high-dimensional product space of SO(3) manifolds, modeling the joint distribution for …

abstract application arxiv benefit cs.cv domains human modeling product robotics space type

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