World Motion Models: Flexible Sequence Modeling of SE(3) Trajectories
Equipping artificial agents with spatial intelligence requires a comprehensive generative prior over the dynamic 3D world. We propose World Motion Models (WMMs) that capture "what was, is, and will be where across time" via sparse SE(3) pose trajectories. WMMs are built on the observation that elements of dynamic scenes can be well approximated by a set of rigid SE(3) trajectories, a minimal yet expressive primitive for 4D modeling. This representation unifies articulated objects, human bodies, hand-object interactions, piecewise-rigid scene dynamics, camera motion, and even robot states and actions into a single shared space. Given this representation, we cast the joint distribution of t...
| Authors | Jiahui Lei, Qianqian Wang, Trevor Darrell et al. |
|---|---|
| Primary category | cs.RO |
| Published | 1 October 2026 |
| Last updated at source | 1 October 2026 |
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