The Lightweight Action Inversion and Riemannian rectification network (LightAIR) is proposed, which introduces textual semantic priors as anchors via a lightweight action inversion operator to extract pure action features, thereby overcoming visual-inherent coupling.
Yulun Zhang, Zixu Li, Zhiwei Chen et al.· 0 citations
Behavior-cloned visuomotor policies can remain accurate near their training distribution yet fail when object position and camera viewpoint change together. A successful reference trajectory contains the geometry needed to transfer the same interaction, but the policy must align that geometry with the current scene and...
Tan Su, Hao-Xiang Yang, Ru-Xin Wang et al.· 0 citations
CoGeo-GS assigns concept-aware semantic tags to Gaussians, enabling flexible object selection and reducing interference between foreground objects and background structures within a single optimization stage, and introduces a geometry-aware completion pipeline that combines monocular depth priors with diffusion-based r...
Yuan-Xiang Ni, Xian-Liang Huang, Chen-Hang Ma et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.