| <h1 align="center">[ECCV 2026] Holo360D: A Large-Scale Real-World Dataset with Continuous Trajectories for Advancing Panoramic 3D Reconstruction and Beyond</h1> |
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| <div align="center"> |
| <a href="https://jou719.github.io/Holo360D_homepage/"><img src="https://img.shields.io/badge/Project%20Page-5745BB?logo=google-chrome&logoColor=white"></a>   |
| <a href="https://arxiv.org/pdf/2604.22482"><img src="https://img.shields.io/static/v1?label=Paper&message=arXiv&color=red&logo=arxiv"></a>   |
| <a href="https://github.com/Jou719/Holo360D/tree/main"><img src="https://img.shields.io/static/v1?label=Code&message=GitHub&color=blue&logo=github"></a>   |
| <a href="https://huggingface.co/datasets/ouou123/Holo360D/tree/main"><img src="https://img.shields.io/static/v1?label=Dataset&message=HuggingFace&color=yellow&logo=huggingface"></a>   |
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| <div align="center"> |
| <img src="assets/teaser.jpg" width="1100px" alt="Teaser Image"> |
| </div> |
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| ## 🎉 NEWS |
| - [2026.07.04] 🔥 We have fixed incorrect RGB face masks within the Holo360D **test set**. If you downloaded **the test set before July 2, 2026**, please re-download the updated test dataset. |
| - [2026.07.01] 🔥 We have released the inference code for **fine-tuned Pi3** on the Holo360D, which supports both **single-view and multi-view panoramic 3D reconstruction**. |
| - [2026.06.27] 🔥 We have released all data of the **Holo360D** dataset on Hugging Face, featuring 56 indoor scenes and 19 outdoor scene. |
| - [2026.06.18] 🎉 **Holo360D** has been accepted by ECCV 2026. |
| - [2026.06.03] 🔥 We have released test data of the **Holo360D** dataset on Hugging Face, featuring 13 indoor scenes and 4 outdoor scene. |
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| ## ✨ Overview |
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| We present Holo360D, the first large-scale real-world panoramic 3D dataset, containing 109,495 panoramas paired with LiDAR-derived ground truth, including precise meshes, point clouds, depth maps, and camera poses. More importantly, Holo360D is the first panoramic dataset to offer accurately aligned high-completeness depth |
| maps with continuous camera trajectories over long sequences. |
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| Key characteristics (from the paper): |
| - Large-scale real-world 360 panorama 3D dataset. |
| - Continuous trajectory capture for multi-view settings. |
| - Accurately aligned high-completeness depth maps for training and testing. |
| - A benchmark setup for model fine-tuning and evaluation. |
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| ## 🔮 Inference |
| We have released the inference code and checkpoint for fine-tuned Pi3 on the Holo360D ([click here](https://github.com/Jou719/Holo360D/tree/main/Pi3_Finetuned_Holo360d)) |
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| ## 📦 Dataset Structure |
| ``` |
| Holo360D/ |
| ├── train/ |
| │ ├── Indoor_xxx/ |
| │ │ ├── rgb/ # panoramic RGB images (.jpg) |
| │ │ ├── depth/ # depth maps (.exr) |
| │ │ │ ├── mesh_depth/ # depth maps (.exr) |
| │ │ │ ├── pointcloud_depth/ # depth maps (.exr) |
| │ │ │ ├── visual_mesh_depth/ # visualization (.jpg) |
| │ │ │ └── visual_pointcloud_depth/# visualization (.jpg) |
| │ │ ├── mask/ # masks (.jpg) |
| │ │ └── poses/ # camera poses (.txt) |
| │ ├── Indoor_xxx/ |
| │ ├── Outdoor_xxx/ |
| │ │ ├── rgb/ # panoramic RGB images (.jpg) |
| │ │ ├── depth/ |
| │ │ │ ├── mesh_depth/ # depth maps (.exr) |
| │ │ │ ├── pointcloud_depth/ # depth maps (.exr) |
| │ │ │ ├── visual_mesh_depth/ # visualization (.jpg) |
| │ │ │ └── visual_pointcloud_depth/# visualization (.jpg) |
| │ │ ├── mask/ # masks (.jpg) |
| │ │ └── poses/ # camera poses (.txt) |
| │ ├── Outdoor_xxx/ |
| │ └── ... |
| └── test/ |
| ├── Indoor_xxx/ |
| │ ├── rgb/ |
| │ ├── depth/ |
| │ │ ├── mesh_depth/ # depth maps (.exr) |
| │ │ ├── pointcloud_depth/ # depth maps (.exr) |
| │ │ ├── visual_mesh_depth/ # visualization (.jpg) |
| │ │ └── visual_pointcloud_depth/# visualization (.jpg) |
| │ ├── mask/ |
| │ └── poses/ |
| ├── Indoor_xxx/ |
| ├── Outdoor_xxx/ |
| │ ├── rgb/ |
| │ ├── depth/ |
| │ │ ├── mesh_depth/ |
| │ │ ├── pointcloud_depth/ |
| │ │ ├── visual_mesh_depth/ |
| │ │ └── visual_pointcloud_depth/ |
| │ ├── mask/ |
| │ └── poses/ |
| ├── Outdoor_xxx/ |
| └── ... |
| ``` |
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| Notes: |
| - Timestamp-like file names are shared across modalities to support frame-level alignment. |
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| ## 💡 Dataset Download |
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| Detailed download links and full-package release plan are **to be released**. |
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| - [Hugging Face](https://huggingface.co/datasets/ouou123/Holo360D/tree/main) |
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| ## 📬 Contact |
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| If you have any other questions, you can open an issue on GitHub or contact us via email at jou719@connect.hkust-gz.edu.cn. |
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| ## Citation |
| If you find this dataset useful, please cite our paper. |
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| ```bibtex |
| @article{ou2026holo360d, |
| title={Holo360D: A Large-Scale Real-World Dataset with Continuous Trajectories for Advancing Panoramic 3D Reconstruction and Beyond}, |
| author={Ou, Jing and Cao, Zidong and Ren, Yinrui and Li, Zhuoxiao and Zhu, Jinjing and Hua, Tongyan and Zhang, Shuai and Xiong, Hui and Zhao, Wufan}, |
| journal={arXiv preprint arXiv:2604.22482}, |
| year={2026} |
| } |
| ``` |
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