AI RESEARCH
Interact2Ar: Full-Body Human-Human Interaction Generation via Autoregressive Diffusion Models
arXiv CS.CV
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ArXi:2512.19692v2 Announce Type: replace Generating realistic human-human interactions is a challenging task that requires not only high-quality individual body and hand motions, but also coherent coordination among all interactants. Due to limitations in available data and increased learning complexity, previous methods tend to ignore hand motions, limiting the realism and expressivity of the interactions.