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Xin Tan

3 papers indexed

arxivcs.CV2026-07-18

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning

Yuqi Zhang, Yadan Luo, Xiangyu Sun, Fengyi Zhang, Zi Huang, Xin Tan

High-quality 3D scene assets are critical for embodied applications such as robotic manipulation, navigation, and simulation. Despite their strong object priors, recent single-image 3D generation models such as SAM3D remain insufficient for real-world scenes, where severe occlusi…

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arxivcs.CVcs.AI2026-07-03

VideoSearcher: Empowering Video Deep Research with Multi-Tool Agentic Reasoning via Reinforcement Learning

Zhenkun Gao, Yicheng Bao, Jinlong Peng, Xueheng Li, Theo Huang, Bangwei Liu, et al.

Video understanding is moving beyond closed-context perception toward open-world evidence exploration, a paradigm formalized as Video Deep Research (VDR). However, existing multimodal search agents primarily target static images, and the current VDR benchmark relies on text-centr…

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arxivcs.CV2026-06-26

ReScene: Structured Indoor Scene Reconstruction from Multi-View Captures

Haoran Xu, Lechao Zhang, Daoguo Dong, Yan Gao, Xin Tan

Constructing simulation-ready 3D scenes from multi-view captures is a key bottleneck for Embodied Artificial Intelligence, as downstream tasks require object-level structure, explicit inter-object relations, and physical plausibility. Existing approaches either rely on specialize…

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