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--- |
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license: odc-by |
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language: |
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- en |
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viewer: false |
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--- |
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# Objaverse-XL |
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<a href="//arxiv.org/abs/2307.05663" target="_blank"> |
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<img src="https://img.shields.io/badge/arXiv-2307.05663-<COLOR>"> |
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</a> |
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_Uploading is currently in progress!_ |
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Objaverse-XL is an open dataset of over 10 million 3D objects! |
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With it, we train Zero123-XL, a foundation model for 3D, observing incredible 3D generalization abilities: 🧵👇 |
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<img src="https://mattdeitke.com/static/1cdcdb2ef7033e177ca9ae2975a9b451/9c1ca/objaverse-xl.webp"> |
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## Scale Comparison |
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Objaverse 1.0 was released back in December. It was a step in the right direction, but still relatively small with 800K objects. |
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Objaverse-XL is over an order of magnitude larger and much more diverse! |
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<img src="https://github.com/allenai/objaverse-rendering/assets/28768645/43833dd3-ec97-4a3d-8782-00a6aea584b4"> |
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## Unlocking Generalization |
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Compared to the original Zero123 model, Zero123-XL improves remarkably in 0-shot generalization abilities, even being able to perform novel view synthesis on sketches, cartoons, and people! |
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A ton more examples in the [📝 paper](https://arxiv.org/abs/2307.05663) :) |
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<img src="https://github.com/allenai/objaverse-rendering/assets/28768645/8470e4df-e39d-444b-9871-58fbee4b87fd"> |
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## Image → 3D |
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With the base Zero123-XL foundation model, we can perform image → 3D using [DreamFusion](https://dreamfusion3d.github.io/), having the model guide a NeRF to generate novel views! |
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<video autoplay muted loop controls> |
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<source src="https://github.com/allenai/objaverse-rendering/assets/28768645/571852cd-dc02-46ce-b2bb-88f64a67d0ac" type="video/mp4"> |
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</video> |
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## Text → 3D |
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Text-to-3D comes for free with text → image models, such as with SDXL here, providing the initial image! |
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<video autoplay muted loop controls> |
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<source src="https://github.com/allenai/objaverse-rendering/assets/28768645/96255b42-8158-4c7a-8308-7b0f1257ada8" type="video/mp4"> |
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</video> |
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## Scaling Trends |
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Beyond that, we show strong scaling trends for both Zero123-XL and [PixelNeRF](https://alexyu.net/pixelnerf/)! |
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<img src="https://github.com/allenai/objaverse-rendering/assets/28768645/0c8bb433-27df-43a1-8cb8-1772007c0899"> |
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## Tutorial |
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Check out the [Google Colab tutorial](//colab.research.google.com/drive/1zd4ri7ie_i5TYSUA9xHARh5W8nzrYpwg?usp=sharing) to download Objaverse-XL. |
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## License |
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The use of the dataset as a whole is licensed under the ODC-By v1.0 license. Individual objects in Objaverse-XL are licensed under different licenses. |
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## Citation |
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To cite Objaverse-XL, please cite our [📝 arXiv](https://arxiv.org/abs/2307.05663) paper with the following BibTeX entry: |
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```bibtex |
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@article{objaverseXL, |
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title={Objaverse-XL: A Universe of 10M+ 3D Objects}, |
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author={Matt Deitke and Ruoshi Liu and Matthew Wallingford and Huong Ngo and |
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Oscar Michel and Aditya Kusupati and Alan Fan and Christian Laforte and |
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Vikram Voleti and Samir Yitzhak Gadre and Eli VanderBilt and |
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Aniruddha Kembhavi and Carl Vondrick and Georgia Gkioxari and |
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Kiana Ehsani and Ludwig Schmidt and Ali Farhadi}, |
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journal={arXiv preprint arXiv:2307.05663}, |
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year={2023} |
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} |
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``` |
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Objaverse 1.0 is available on 🤗Hugging Face at [@allenai/objaverse](https://huggingface.co/datasets/allenai/objaverse). To cite it, use: |
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```bibtex |
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@article{objaverse, |
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title={Objaverse: A Universe of Annotated 3D Objects}, |
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author={Matt Deitke and Dustin Schwenk and Jordi Salvador and Luca Weihs and |
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Oscar Michel and Eli VanderBilt and Ludwig Schmidt and |
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Kiana Ehsani and Aniruddha Kembhavi and Ali Farhadi}, |
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journal={arXiv preprint arXiv:2212.08051}, |
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year={2022} |
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} |
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``` |
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