Author

Peidong Liu

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Preprint Aug 2026

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models

LAWM-3D is proposed, which introduces three tightly coupled key designs: a multi-view invariant unified action tokenization scheme for learning 3D-aware latent actions, a geometric alignment constraint that anchors intermediate encoder features to a pretrained 3D foundation model, and a non-injective RGB-D joint recons...

Jia-Rui Yang, Jiale Zhange, Jiawei Li et al. · 1 citation

Jun 2026

Walking in the Implicit: Interactive World Exploration via Neural Scene Representation

Walking in the Implicit, a scene-centric paradigm that changes the rollout variable from frame latents to a fixed-length, renderable implicit state, termed Neural Implicit Scene (NIS), factorizes interactive generation into stochastic transition of a compact scene state and deterministic pose-conditioned rendering give...

Zhiqi Li, Chengrui Dong, Zhenhua Du et al. · arXiv.org · 0 citations