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Winning noise tickets can dramatically enhance text-to-motion fidelity, bridging the gap between input semantics and generated motion without the need for retraining.
Autoregressive motion generation gets a boost with CMDM, a causal diffusion transformer that finally delivers high-quality, real-time performance without sacrificing semantic fidelity or temporal smoothness.
Achieve zero-shot, exact spatial motion control without compromising motion realism using ProjFlow's novel kinematics-aware metric for coherent skeletal correction.
