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SE-Former: Skeleton-Enhanced Learning Framework for 3D Human Motion Prediction
The key challenge in 3D human motion prediction lies in the inaccurate modeling of spatial and temporal dependencies in motion sequences. The latent feature relationships within the data remain underexplored, particularly with incomplete data (missing joints). Motivated by the coordinated motion of multiple skeletons i...