| --- |
| license: mit |
| task_categories: |
| - text-to-3d |
| - image-to-3d |
| - text-to-image |
| - image-to-image |
| language: |
| - en |
| tags: |
| - objaverse |
| - 3d |
| - high-quality |
| --- |
| |
| # Objaverse-Rand6View |
|
|
| [Github](https://github.com/huanngzh/MV-Adapter) | [Project Page](https://huanngzh.github.io/MV-Adapter-Page/) | [Paper](https://arxiv.org/abs/2412.03632) |
|
|
| ## 1. Dataset Introduction |
|
|
| **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/). |
| Features: |
| * Orthographic or perspective views (random) |
| * 1024x1024 resolution |
| * RGB, Depth, Normal, Camera |
|
|
| ## 2. Data Extraction |
|
|
| ```bash |
| sudo apt-get install git-lfs |
| git lfs install |
| git clone https://huggingface.co/datasets/huanngzh/Objaverse-Rand6View |
| cat Objaverse-Rand6View.part* > Objaverse-Rand6View.tar.gz |
| tar -xzvf Objaverse-Rand6View.tar.gz |
| ``` |
|
|
| ## 3. File Structure |
|
|
| ```bash |
| Objaverse-Rand6View |
| ├── data |
| │ ├── 00 |
| │ │ ├── 00a4d2b0c4c240289ed456e87d8b9e02 |
| │ │ │ ├── color_0000.webp # rgb |
| │ │ │ ├── color_0001.webp |
| │ │ │ ├── ... |
| │ │ │ ├── color_0005.webp |
| │ │ │ ├── depth_0000.exr # depth |
| │ │ │ ├── depth_0001.exr |
| │ │ │ ├── ... |
| │ │ │ ├── depth_0005.exr |
| │ │ │ ├── normal_0000.webp # normal |
| │ │ │ ├── normal_0001.webp |
| │ │ │ ├── ... |
| │ │ │ ├── normal_0005.webp |
| │ │ │ └── meta.json # camera |
| │ │ ... |
| │ │ └── 00a6e74d8eeb428bb3e01b9361d8d57e |
| │ ├── 0a |
| │ ├── ... |
| │ └── zS |
| ├── objaverse_list_6w.json # id list |
| └── objaverse_short_captions.json # captions |
| ``` |
|
|
| | 0000 | 0001 | 0002 | 0003 | 0004 | 0005 | |
| | - | - | - | - | - | - | |
| |  |  |  |  |  |  | |
|
|
|
|
| ## Citation |
|
|
| If you find this dataset useful, please cite: |
|
|
| ```bash |
| @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 |
|
|
| [huangzehuan@buaa.edu.cn](mailto:huangzehuan@buaa.edu.cn) |
