Depth-Adaptive Injection for Stylized Text-to-Motion.
Discrete text-to-motion generation models are powerful tools for synthesizing diverse human motions, yet endowing them with controllable, high-fidelity stylistic variations remains challenging. Direct retraining or fine-tuning these models often disrupts the fragile discrete token distributions learned by masked genera...