2026
Causal Motion Diffusion Models for Autoregressive Motion Generation
CVPR 2026
Recent advances in motion diffusion models have substantially improved the realism of human motion synthesis. However, existing approaches fall into two categories: full-sequence diffusion models with bidirectional generation, which limit temporal causality and real-time applicability, and autoregre