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Aug, 2023
图卷积序列块的多尺度残差学习用于人体动作预测
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction
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Mohsen Zand, Ali Etemad, Michael Greenspan
TL;DR
提出了一种基于学习时空依赖关系的人体动作预测新方法,通过探索动态相关的身体组件之间的配对关系,以强制实施连续序列之间的时间连通性,从而有效地模拟运动序列信息,超越其他技术并树立新的技术标准。
Abstract
A new method is proposed for
human motion prediction
by learning
temporal and spatial dependencies
. Recently,
multiscale graphs
have been
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