MotionMap represents multimodality in human pose forecasting as a heatmap over a learned latent space, enabling sample-efficient, ranked, and controllable prediction of multiple future motions.
Di- verse human motion prediction via gumbel-softmax sampling from an auxiliary space,
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MotionMap: Representing Multimodality in Human Pose Forecasting
MotionMap represents multimodality in human pose forecasting as a heatmap over a learned latent space, enabling sample-efficient, ranked, and controllable prediction of multiple future motions.