Orientation-Aware Leg Movement Learning for Action-Driven Human Motion Prediction

The task of action-driven human motion prediction aims to forecast future human motion based on the observed sequence while respecting the given action label. It requires modeling not only the stochasticity within human motion but the smooth yet realistic transition between multiple action labels. However, the fact that most datasets do not contain such transition data complicates this task. Existing work tackles this issue by learning a smoothness prior to simply promote smooth transitions, yet doing so can result in …

cs.cv cs.gr datasets forecast future future human human labels modeling multiple prediction transition