A text-to-motion model that combines noise-conditioned guidance with latent-space sampling to produce more varied 3D motions at little cost to text alignment.
A spatio- temporal continuous network for stochastic 3d human motion predic- tion,
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Embracing Aleatoric Uncertainty: Generating Diverse 3D Human Motion
A text-to-motion model that combines noise-conditioned guidance with latent-space sampling to produce more varied 3D motions at little cost to text alignment.