AI RESEARCH
AnyCrowd: Instance-Isolated Identity-Pose Binding for Arbitrary Multi-Character Animation
arXiv CS.CV
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ArXi:2603.15415v1 Announce Type: new Controllable character animation has advanced rapidly in recent years, yet multi-character animation remains underexplored. As the number of characters grows, multi-character reference encoding becomes susceptible to latent identity entanglement, resulting in identity bleeding and reduced controllability. Moreover, learning precise and spatio-temporally consistent correspondences between reference identities and driving pose sequences becomes increasingly challenging, often leading to identity-pose mis-binding and inconsistency in generated videos.