MindCue is proposed, a training-free spatial evidence selector guided by a target-view hypothesis that reverses the drop in overall score under expanded context and outperforms the standard-context baseline, and provides a concrete testbed for generative multi-view spatial intelligence.
Yan-Bo Wang, Si-Qi Luo, Si-Yu Zhang et al.· 0 citations
EgoGenEval introduces EgoGenEval, a geometry-grounded, pose-free benchmark designed to evaluate the physical consistency of visual generators under ego-motion, and shows that pairwise supervision does not reliably improve camera-motion grounding and scene-state preservation together.
Yi-Lin Long, Chen-Ming Zhu, Zi-Tang Gou et al.· 0 citations
The Geometry Grounded Tracking Anything Model is proposed, a unified framework for promptable instance tracking in 3D using only unordered RGB images or videos and delivers strong cross-view consistency, promptable instance spatial tracking, video object segmentation and spatial reconstruction, establishing a foundatio...
Chen-Ming Zhu, Peizhou Cao, Jing-Li Lin et al.· arXiv.org· 0 citations
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