Dataset Viewer (First 5GB)
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MTU3D Dataset
📄 Paper (MTU3D) | 🧾 Project GitHub
The MTU3D dataset provides all the necessary data for reproducing the experiments in the Move to Understand a 3D Scene: Bridging Visual Grounding and Exploration for Efficient and Versatile Embodied Navigation(ICCV25), including stage1 data for embodied segmentation training, feature saved from stage1 and vle data.
SceneVerse required for MTU3D should be downloaded from SceneVerse.
Specifically, we provide the correspondence between *.tar.gz in this Dataset and data.* in the config file:
| .tar.gz | data.config |
|---|---|
| embodied_base.tar.gz | data.embodied_base |
| embodied_feat.tar.gz | data.embodied_feat |
| embodied_vle.tar.gz | data.embodied_vle |
📌 The dataset is large and stored in split archives. Please download all parts, merge, and extract them before usage.
Citation:
@article{zhu2025mtu,
title = {Move to Understand a 3D Scene: Bridging Visual Grounding and Exploration for Efficient and Versatile Embodied Navigation},
author = {Zhu, Ziyu and Wang, Xilin and Li, Yixuan and Zhang, Zhuofan and Ma, Xiaojian and Chen, Yixin and Jia, Baoxiong and Liang, Wei and Yu, Qian and Deng, Zhidong and Huang, Siyuan and Li, Qing},
journal = {International Conference on Computer Vision (ICCV)},
year = {2025}
}
license: cc-by-4.0
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