PAMI boosts text-to-human interaction fidelity
PAMI uses part-anchored motion and coarse-to-fine refinement to generate more accurate human-object interactions from text. On InterAct, it reports 14.5% higher contact recall than the previous state of the art. [arXiv paper](https://arxiv.org/abs/2609.38466)
PAMI tackles one of embodied AI’s hardest problems: keeping humans and objects physically coordinated throughout motion.
- –Body-part voting directly reduces object drift and missed contact
- –PamiGen handles coarse motion while PamiRefiner resolves detailed geometry
- –The approach could improve animation, simulation, AR/VR, and robot-learning data generation
- –Its reported gains are promising, but real-world usefulness depends on reproducibility and broader interaction diversity
DISCOVERED
3h ago
2026-10-04
PUBLISHED
3h ago
2026-10-04
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AI Search