Text-to-motion model animates unseen skeletons from their skeleton file alone

TopX generates joint rotations and root trajectories for any kinematic tree without training clips, fine-tuning, or retargeting of the target character.

Top University
Tengjiao Sun · Pengcheng Fang · Xiaoyu Zhan · Dongjie Fu · Xiaohao Cai · Hansung Kim

University of Southampton · Nanjing University · MOGO AI

Research Digest··3 min read
Illustration: Text-to-motion model animates unseen skeletons from their skeleton file alone
Sun et al. present TopX, a 73M-parameter flow-matching transformer that generates motion for any kinematic tree directly from its skeleton file, tree topology, rest pose, and joint names, with no clips of the character and no per-rig normalisation.

The authors propose TopX, a flow-matching transformer that reads a skeleton’s tree, rest pose, and joint names, and outputs joint rotations and a root trajectory.

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