YangCaoCS/ARKitScenes_processed
The processed ARKitScenes datasets by VGGT-Det. Run 'cat train.tar.part_0{00,01,02} > train.tar' to merge the split archives into a single tar file. Run 'md5sum -c MD5SUMS.txt' to verify that the files were downloaded successfully. If the dataset is helpful, please cite: @inproceedings{ dehghan2021arkitscenes, title={{ARK}itScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile {RGB}-D Data}, author={Gilad Baruch and Zhuoyuan Chen and Afshin… See the full description on the dataset page: https://huggingface.co/datasets/YangCaoCS/ARKitScenes_processed.
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The processed ARKitScenes datasets by VGGT-Det.
- Run 'cat train.tar.part_0{00,01,02} > train.tar' to merge the split archives into a single tar file.
- Run 'md5sum -c MD5SUMS.txt' to verify that the files were downloaded successfully.
If the dataset is helpful, please cite:
@inproceedings{
dehghan2021arkitscenes,
title={{ARK}itScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile {RGB}-D Data},
author={Gilad Baruch and Zhuoyuan Chen and Afshin Dehghan and Tal Dimry and Yuri Feigin and Peter Fu and Thomas Gebauer and Brandon Joffe and Daniel Kurz and Arik Schwartz and Elad Shulman},
booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1)},
year={2021},
url={https://openreview.net/forum?id=tjZjv_qh_CE}
}
@inproceedings{cao2026vggtdet,
title={VGGT-Det: Mining VGGT Internal Priors for Sensor-Geometry-Free Multi-View Indoor 3D Object Detection},
author={Cao, Yang and Wu, Feize and Dave Chen, Zhenyu and Zhong, Yingji and Hong, Lanqing and Xu, Dan},
booktitle={CVPR},
year={2026}
}