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# SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation
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### [Paper](https://arxiv.org/abs/2410.08189) | [Project Page](https://bagh2178.github.io/SG-Nav/) | [Video](https://cloud.tsinghua.edu.cn/f/ae050a060d624be4bc5d/?dl=1)
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### [Paper](https://arxiv.org/abs/2410.08189) | [Project Page](https://bagh2178.github.io/SG-Nav/) | [Video](https://cloud.tsinghua.edu.cn/f/ae050a060d624be4bc5d/?dl=1) | [中文解读](https://zhuanlan.zhihu.com/p/909651478)
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> SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation
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> [Hang Yin](https://bagh2178.github.io/)*, [Xiuwei Xu](https://xuxw98.github.io/)\* $^\dagger$, [Zhenyu Wu](https://gary3410.github.io/), [Jie Zhou](https://scholar.google.com/citations?user=6a79aPwAAAAJ&hl=en&authuser=1), [Jiwen Lu](http://ivg.au.tsinghua.edu.cn/Jiwen_Lu/)$^\ddagger$
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\* Equal contribution $\dagger$ Project leader $\ddagger$ Corresponding author
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We propose a <b>zero-shot</b> object-goal navigation framework by constructing an online 3D scene graph to prompt LLMs. Our method can be directly applied to different kinds of scenes and categories <b>without training</b>. [中文解读](https://zhuanlan.zhihu.com/p/909651478).
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We propose a <b>zero-shot</b> object-goal navigation framework by constructing an online 3D scene graph to prompt LLMs. Our method can be directly applied to different kinds of scenes and categories <b>without training</b>.
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## News
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- [2025/02/27]: [UniGoal](https://github.com/bagh2178/UniGoal), an extended version of SG-Nav which unifies different goal-oriented navigation tasks, is accepted to CVPR 2025!
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- [2024/12/30]: We update the code and simplify the installation.
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- [2024/09/26]: SG-Nav is accepted to NeurIPS 2024!
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