Tianchu Hang

Hierarchical Enhancement of Semantic Priors for Disentangled Text-Driven Motion Generation

Text-to-motion generation aims to synthesize realistic and semantically aligned 3D human motions from natural language descriptions. Existing diffusion-based methods often rely on isotropic latent priors and shallow cross-modal supervision, which lead to semantic entanglement, limited controllabilit