Objaverse-Ortho10View

Github | Project Page | Paper

1. Dataset Introduction

TL;DR: This dataset contains multi-view images that are rendered from a high-quality subset of Objaverse, used in MV-Adapter. Features:

• Orthographic views
• 1024x1024 resolution
• RGB, Depth, Normal, Camera

2. Data Extraction

sudo apt-get install git-lfs
git lfs install
git clone https://huggingface.co./datasets/huanngzh/Objaverse-Ortho10View
cat Objaverse-Render.part* > Objaverse-Ortho10View.tar.gz
tar -xzvf Objaverse-Ortho10View.tar.gz

3. File Structure

Objaverse-Ortho10View
├── data
│   ├── 00
│   │   ├── 00a4d2b0c4c240289ed456e87d8b9e02
│   │   │   ├── color_0000.webp # rgb
│   │   │   ├── color_0001.webp
│   │   │   ├── ...
│   │   │   ├── color_0009.webp
│   │   │   ├── depth_0000.exr # depth
│   │   │   ├── depth_0001.exr
│   │   │   ├── ...
│   │   │   ├── depth_0009.exr
│   │   │   ├── normal_0000.webp # normal
│   │   │   ├── normal_0001.webp
│   │   │   ├── ...
│   │   │   ├── normal_0009.webp
│   │   │   └── meta.json # camera
│   │   ...
│   │   └── 00a6e74d8eeb428bb3e01b9361d8d57e
│   ├── 0a
│   ├── ...
│   └── zS
├── objaverse_list_6w.json # id list
└── objaverse_short_captions.json # captions

0000 (elevation=0, azimuth=0)	0001 (elevation=0, azimuth=90)	0002 (elevation=0, azimuth=180)	0003 (elevation=0, azimuth=270)	0004 (elevation=0, azimuth=45)
0005 (elevation=0, azimuth=315)	0006 (elevation=89.99, azimuth=0)	0007 (elevation=-89.99, azimuth=0)	0008 (elevation=89.99, azimuth=180)	0009 (elevation=-89.99, azimuth=180)

Citation

If you find this dataset useful, please cite:

@article{huang2024mvadapter,
  title={Mv-adapter: Multi-view consistent image generation made easy},
  author={Huang, Zehuan and Guo, Yuan-Chen and Wang, Haoran and Yi, Ran and Ma, Lizhuang and Cao, Yan-Pei and Sheng, Lu},
  journal={arXiv preprint arXiv:2412.03632},
  year={2024}
}

@inproceedings{deitke2023objaverse,
  title={Objaverse: A universe of annotated 3d objects},
  author={Deitke, Matt and Schwenk, Dustin and Salvador, Jordi and Weihs, Luca and Michel, Oscar and VanderBilt, Eli and Schmidt, Ludwig and Ehsani, Kiana and Kembhavi, Aniruddha and Farhadi, Ali},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={13142--13153},
  year={2023}
}

Contact

[email protected]