arXiv: cs.AI preprintsInternational6 November 2026
CoMPAS3D: A Dataset and Benchmark for Interactive Motion
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arXiv:2507.19684v3 Announce Type: replace-cross Abstract: Socially interactive humanoids aim to interact with humans through their bodies, adapting in real time to a partner's movement, intent, and abilities. This requires models that understand both how bodies move and what their movements mean. Yet, existing evaluation frameworks for interactive motion generation do not assess whether generated reactive motions are valid or appropriate within a shared movement vocabulary. Existing frameworks rely on kinematic metrics such as FID and beat alignment that cannot capture this semantic property,
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