SAMoR encodes motions of arbitrary skeletons into a fixed set of 8 part tokens via graph-transformer encoding, cross-attention pooling, and residual vector quantization, enabling cross-topology reconstruction, transfer, and text-conditioned generation.
arXiv preprint arXiv:2602.06548 , year=
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AnyAct generates editable human reenactments from character videos via conditional motion generation from transferable sparse local 2D articulated cues, with designs for human-only supervision and global-local decoupling.
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SAMoR: Motion Modelling for Articulated Objects of Any Skeleton and Topology
SAMoR encodes motions of arbitrary skeletons into a fixed set of 8 part tokens via graph-transformer encoding, cross-attention pooling, and residual vector quantization, enabling cross-topology reconstruction, transfer, and text-conditioned generation.
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AnyAct: Towards Human Reenactment of Character Motion From Video
AnyAct generates editable human reenactments from character videos via conditional motion generation from transferable sparse local 2D articulated cues, with designs for human-only supervision and global-local decoupling.