Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network

6 Nov 2019Junfeng HuZhencheng FanJun LiaoLi Liu

The primary goal of skeletal motion prediction is to generate future motion by observing a sequence of 3D skeletons. A key challenge in motion prediction is the fact that a motion can often be performed in several different ways, with each consisting of its own configuration of poses and their spatio-temporal dependencies, and as a result, the predicted poses often converge to the motionless poses or non-human like motions in long-term prediction... (read more)

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