Stylized Text-to-Motion Generation via Hypernetwork-Driven Low-Rank Adaptation
arXiv:2605.13333v1 Announce Type: cross
Abstract: Text-driven motion diffusion models are capable of generating realistic human motions, but text alone often struggles to express fine-level nuances of motion, commonly referred to as style. Recent appr…