Recent advances in deterministic human motion prediction: A review
T Deng, Y Sun - Image and Vision Computing, 2024 - Elsevier
In recent years, the rapid advancement of deep learning and the advent of extensive human
motion datasets have significantly enhanced the prominence of human motion prediction …
motion datasets have significantly enhanced the prominence of human motion prediction …
Tacking over-smoothing: Target-guide progressive dynamic graph learning for 3D skeleton-based human motion prediction
Abstract Graph Convolution Network-based (GCN-based) approaches show promising
performance on 3D skeleton-based human motion prediction due to its natural graph …
performance on 3D skeleton-based human motion prediction due to its natural graph …
CHAMP: A Large-Scale Dataset for Skeleton-based Composite HumAn Motion Prediction
W Zhang, M Liu, X Wang, S Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Skeleton-based human motion prediction task aims to forecast future skeleton frames
conditioned by observed skeleton sequence. Different from previous methods that focus on …
conditioned by observed skeleton sequence. Different from previous methods that focus on …
Ksof: Leveraging Kinematics and Spatio-Temporal Optimal Fusion for Human Motion Prediction
R Ding, K Qu, J Tang - Available at SSRN 4671155 - papers.ssrn.com
Ignoring the meaningful kinematics law, which generates improbable or impractical
predictions, is one of the obstacles to human motion prediction. Current methods attempt to …
predictions, is one of the obstacles to human motion prediction. Current methods attempt to …