Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration

arXiv:2403.14104v1 Announce Type: new
Abstract: Human motion prediction is consisting in forecasting future body poses from historically observed sequences. It is a longstanding challenge due to motion's complex dynamics and uncertainty. Existing methods focus on building up complicated neural networks to model the motion dynamics. The predicted results are required to be strictly similar to the training samples with L2 loss in current training pipeline. However, little attention has been paid to the uncertainty property which is crucial to the …

arxiv chaos cs.cv human prediction type uncertainty