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README.md
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license: mit
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---
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license: mit
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task_categories:
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- text-to-3d
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- image-to-3d
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- text-to-image
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- image-to-image
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language:
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- en
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tags:
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- objaverse
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- 3d
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- high-quality
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---
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# Objaverse-Rand6View
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[Github](https://github.com/huanngzh/MV-Adapter) | [Project Page](https://huanngzh.github.io/MV-Adapter-Page/) | [Paper](https://arxiv.org/abs/2412.03632)
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## 1. Dataset Introduction
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**TL;DR:** This dataset contains multi-view images that are rendered from a high-quality subset of [Objaverse](https://objaverse.allenai.org/), used in [MV-Adapter](https://huanngzh.github.io/MV-Adapter-Page/).
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Features:
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* Orthographic or perspective views (random)
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* 1024x1024 resolution
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* RGB, Depth, Normal, Camera
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## 2. Data Extraction
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```bash
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sudo apt-get install git-lfs
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git lfs install
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git clone https://huggingface.co/datasets/huanngzh/Objaverse-Rand6View
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cat Objaverse-Rand6View.part* > Objaverse-Rand6View.tar.gz
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tar -xzvf Objaverse-Rand6View.tar.gz
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```
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## 3. File Structure
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```bash
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Objaverse-Rand6View
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├── data
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│ ├── 00
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│ │ ├── 00a4d2b0c4c240289ed456e87d8b9e02
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│ │ │ ├── color_0000.webp # rgb
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│ │ │ ├── color_0001.webp
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│ │ │ ├── ...
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│ │ │ ├── color_0005.webp
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│ │ │ ├── depth_0000.exr # depth
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│ │ │ ├── depth_0001.exr
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│ │ │ ├── ...
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│ │ │ ├── depth_0005.exr
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│ │ │ ├── normal_0000.webp # normal
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│ │ │ ├── normal_0001.webp
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│ │ │ ├── ...
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│ │ │ ├── normal_0005.webp
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│ │ │ └── meta.json # camera
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│ │ ...
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│ │ └── 00a6e74d8eeb428bb3e01b9361d8d57e
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│ ├── 0a
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│ ├── ...
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│ └── zS
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├── objaverse_list_6w.json # id list
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└── objaverse_short_captions.json # captions
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```
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| 0000 | 0001 | 0002 | 0003 | 0004 | 0005 |
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| - | - | - | - | - | - |
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|  |  |  |  |  |  |
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## Citation
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If you find this dataset useful, please cite:
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```bash
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@article{huang2024mvadapter,
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title={Mv-adapter: Multi-view consistent image generation made easy},
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author={Huang, Zehuan and Guo, Yuan-Chen and Wang, Haoran and Yi, Ran and Ma, Lizhuang and Cao, Yan-Pei and Sheng, Lu},
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journal={arXiv preprint arXiv:2412.03632},
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year={2024}
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}
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@inproceedings{deitke2023objaverse,
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title={Objaverse: A universe of annotated 3d objects},
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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},
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booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
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pages={13142--13153},
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year={2023}
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}
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```
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## Contact
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[[email protected]](mailto:[email protected])
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