ViBES introduces a speech-language-behavior model using modality-specific transformer experts that jointly generates dialogue and 3D body actions, showing gains over separate co-speech and text-to-motion baselines on multi-turn metrics.
Motionverse: A unified multimodal framework for motion comprehension, generation and edit- ing
3 Pith papers cite this work. Polarity classification is still indexing.
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EgoMotion decouples reasoning from motion synthesis in egocentric vision-language tasks by mapping inputs to motion primitives via VLM then using diffusion to produce grounded and coherent 3D trajectories.
UMo presents a sparse MoE-based unified model for real-time co-speech avatar animation that claims superior quality under latency constraints via keyframe-centric design and multi-stage audio-augmented training.
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ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body
ViBES introduces a speech-language-behavior model using modality-specific transformer experts that jointly generates dialogue and 3D body actions, showing gains over separate co-speech and text-to-motion baselines on multi-turn metrics.