Linear Multi-granular Body Modeling for Text-Driven Motion Generation
HiSTF Mamba is a linear-time framework for text-to-motion generation that solves issues with existing methods by combining local and global spatial modeling with bidirectional temporal encoding. It uses Dual-Spatial Mamba to capture both fine joint details and whole-body coordination, Bi-Temporal Mamba for long/short term dependencies, and a Dynamic Spatiotemporal Fusion Module (DSFM) to efficiently fuse features. Experiments show it significantly improves generation fidelity on HumanML3D while using fewer parameters than baseline models.