Author

Adam Hung

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Preprint Sep 2026

Modality-Autoregressive World-Action Models

ModAR is introduced, the first WAM to autoregressively denoise multiple future modalities before predicting actions, and it is found that ModAR's sequential generation outperforms existing WAM formulations, with the highest average success rate at all evaluated data scales.

Adam Hung, B. Duisterhof, D. Ramanan et al. · 1 citation

Preprint Sep 2026

PointZero: 3D Point Track Completion for Learning Transferable 3D Dynamics

It is shown that a flexible and expressive transformer, PointZero, outperforms prior methods on the same data and demonstrates the utility of the pre-training objective by post-training PointZero for two downstream applications: action-conditioned 3D dynamics prediction and imitation learning.

B. Duisterhof, Kai-Feng Zhang, Adam Hung et al. · 5 citations · ⚡1