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license: cc-by-4.0 |
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--- |
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<div align="center"> |
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<h1>Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-view Scenes</h1> |
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<a href="https://arxiv.org/abs/2509.06266" target="_blank"> |
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<img alt="arXiv" src="https://img.shields.io/badge/arXiv-red?logo=arxiv" height="20" /> |
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</a> |
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<a href="https://vbdi.github.io/Ego3D-Bench-webpage/" target="_blank"> |
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<img alt="Website" src="https://img.shields.io/badge/🌎_Website-blue.svg" height="20" /> |
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</a> |
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<a href="https://github.com/vbdi/Ego3D-Bench" target="_blank"> |
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<img alt="Code: Code" src="https://img.shields.io/badge/Code-100000?logo=github&logoColor=white" height="20" /> |
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</a> |
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</div> |
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--- |
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### ⚖️ **Ego3D-Bench Overview** |
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We introduce Ego3D-Bench, a benchmark designed to evaluate the spatial understanding of VLMs in ego-centric multi-view scenarios. Images are collected from three different datasets: NuScenes, Argoverse, and Waymo. Questions are designed to require cross-view reseasoning. We define question from the ego-perspective and from the perspective of objects in the scene. To clearly indicate the perspective of each question, we categorize them into ego-centric or object-centric. In total we have 10 questions: 8 multi-choice QAs and 2 exact number QAs. Figure |
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--- |
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### ⚖️ **Ego3D-Bench vs. other Spatial Reasoning Benchmarks:** |
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<div align="center"> |
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<img src="figs/benchmarks.png" width="600" height="100"> |
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</div> |
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--- |
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📄 **Dataset Access and License Notice:** |
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This dataset includes a subsample of the Waymo Open Dataset (WOD) and is governed by the Waymo Open Dataset License Agreement. |
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Please review the full license terms at: https://waymo.com/open/terms |
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🔒 **Access and Usage Conditions** |
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- License Compliance: This dataset is derived from the Waymo Open Dataset (WOD). All use of this dataset must comply with the terms outlined in the WOD license. |
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- Non-Commercial Use Only:This dataset is made available exclusively for non-commercial research purposes. Any commercial use is strictly prohibited. |
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- Access Agreement: Requesting or accessing this dataset constitutes your agreement to the Waymo Open Dataset License. |
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--- |
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### 📌 Benchmarking on Ego3D-Bench: |
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Refer to the GitHub page (https://github.com/vbdi/Ego3D-Bench) to perform benchmarking using this dataset. |
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--- |
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### Citation: |
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If you find our paper and code useful in your research, please consider giving us a star ⭐ and citing our work 📝 :) |
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``` |
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@misc{gholami2025spatialreasoningvisionlanguagemodels, |
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title={Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes}, |
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author={Mohsen Gholami and Ahmad Rezaei and Zhou Weimin and Sitong Mao and Shunbo Zhou and Yong Zhang and Mohammad Akbari}, |
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year={2025}, |
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eprint={2509.06266}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV}, |
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url={https://arxiv.org/abs/2509.06266}, |
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} |
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``` |
