AI RESEARCH
Unison: Harmonizing Motion, Speech, and Sound for Human-Centric Audio-Video Generation
arXiv CS.CV
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ArXi:2605.08729v1 Announce Type: new Motion, speech, and sound effects are fundamental elements of human-centric videos, yet their heterogeneous temporal characteristics make joint generation highly challenging. Existing audio-video generation models often fail to maintain consistent alignment across these modalities, leading to noticeable mismatches between motion, speech, and environmental sounds. We present Unison, a unified framework that explicitly promotes coherence across the motion, speech, and sound modalities.