Web: http://arxiv.org/abs/2209.07600

Sept. 19, 2022, 1:11 a.m. | Mohammad Mahdavian, Payam Nikdel, Mahdi TaherAhmadi, Mo Chen

cs.LG updates on arXiv.org arxiv.org

In this paper, we develop a neural network model to predict future human
motion from an observed human motion history. We propose a non-autoregressive
transformer architecture to leverage its parallel nature for easier training
and fast, accurate predictions at test time. The proposed architecture divides
human motion prediction into two parts: 1) the human trajectory, which is the
hip joint 3D position over time and 2) the human pose which is the all other
joints 3D positions over time with …

arxiv human prediction robot transformer

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