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Jun, 2022
MoDi: 来自多样化数据的无条件运动合成
MoDi: Unconditional Motion Synthesis from Diverse Data
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Sigal Raab, Inbal Leibovitch, Peizhuo Li, Kfir Aberman, Olga Sorkine-Hornung...
TL;DR
本文介绍了一个基于神经网络的MoDi生成模型,它能够从一个极其丰富、无结构及没标签的数据集中无监督地训练生成高质量、多样化的动作,并能将真实动作转换成可编辑的空间,从而提供了一种新的高级应用。
Abstract
The emergence of
neural networks
has revolutionized the field of
motion synthesis
. Yet, learning to unconditionally synthesize motions from a given distribution remains a challenging task, especially when the mot
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