SP-HLM links sparse poses to whole-body humanoid control
A vision-language-action model predicts five sparse poses, then a tracker combines them with a learned motion prior.
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A vision-language-action model predicts five sparse poses, then a tracker combines them with a learned motion prior.
Contextual safety filtering grounds language rules in trajectories and cuts motion danger events by up to 90%.
MAMHOI factorizes scene-aware human-object interaction generation through motion affordances without paired scene data.
PAMI generates text-conditioned human-object interactions by voting object motion from body-part anchors.
ReMoMask-2 rebuilds retrieval in the generator's latent space for text-to-motion generation, achieving lowest FID on KIT-ML and SnapMoGen.
UniMate is a topology-aware diffusion transformer generating articulated motion for arbitrary rigged skeletons from text, trained on 13,006 motion sequences.
Researchers introduce Motion-Omni, an end-to-end model generating speech with synchronized full-body motion, responding 5.4x faster than cascade pipelines.
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