Images capture the world at one moment, whereas video reveals how it changes. Image self-supervision learns spatial structure from a single moment, while video methods commonly learn temporal relationships inside a representation computed jointly from several frames. We ask whether watching a scene change can instead i...
Wen Huang, Hang Guo, Jia-Rui Yang et al.· 0 citations
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
This paper argues that what a VLA needs is not the ability to generate language, but the ability to consume grounded language, and introduces a framework that endows a VLA with language competence through in-context post-training and an agentic tool-use interface.
Jia-Rui Yang, Wen Huang, Jia-Le Zhang et al.· 1 citation
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