Metadata-Version: 2.1
Name: objaverse
Version: 0.1.4
Summary: Objaverse is an open dataset with over 10 million 3D objects
Home-page: https://huggingface.co/datasets/allenai/objaverse-xl
Author: Allen Institute for AI
Author-email: mattd@allenai.org
License: UNKNOWN
Description: # 🪐 Objaverse-XL
        
        This repository contains scripts to download and process Objaverse-XL.
        
        <img src="https://mattdeitke.com/static/1cdcdb2ef7033e177ca9ae2975a9b451/9c1ca/objaverse-xl.webp">
        
        Objaverse-XL is an open dataset of over 10 million 3D objects!
        
        With it, we train Zero123-XL, a foundation model for 3D, observing incredible 3D generalization abilities: 🧵👇
        
        ## Scale Comparison
        
        Objaverse 1.0 was released back in December. It was a step in the right direction, but still relatively small with 800K objects.
        
        Objaverse-XL is over an order of magnitude larger and much more diverse!
        
        <img src="https://github.com/allenai/objaverse-rendering/assets/28768645/43833dd3-ec97-4a3d-8782-00a6aea584b4">
        
        ## Unlocking Generalization
        
        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!
        
        A ton more examples in the [📝 paper](https://arxiv.org/abs/2307.05663) :)
        
        <img src="https://github.com/allenai/objaverse-rendering/assets/28768645/8470e4df-e39d-444b-9871-58fbee4b87fd">
        
        ## Image → 3D
        
        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!
        
        https://github.com/allenai/objaverse-rendering/assets/28768645/571852cd-dc02-46ce-b2bb-88f64a67d0ac
        
        ## Text → 3D
        
        Text-to-3D comes for free with text → image models, such as with SDXL here, providing the initial image!
        
        https://github.com/allenai/objaverse-rendering/assets/28768645/96255b42-8158-4c7a-8308-7b0f1257ada8
        
        ## Scaling Trends
        
        Beyond that, we show strong scaling trends for both Zero123-XL and [PixelNeRF](https://alexyu.net/pixelnerf/)!
        
        <img src="https://github.com/allenai/objaverse-rendering/assets/28768645/0c8bb433-27df-43a1-8cb8-1772007c0899">
        
        ## Tutorial
        
        Check out the [Google Colab tutorial](//colab.research.google.com/drive/1zd4ri7ie_i5TYSUA9xHARh5W8nzrYpwg?usp=sharing) to download Objaverse-XL (work in progress).
        
        ## Blender Rendering
        
        Blender rendering scripts are available in the [scripts/rendering directory](https://github.com/allenai/objaverse-xl/tree/main/scripts/rendering)!
        
        ![266879371-69064f78-a752-40d6-bd36-ea7c15ffa1ec](https://github.com/allenai/objaverse-xl/assets/28768645/2f042d94-090b-4fd0-b37d-23b5971987ed)
        
        ## License
        
        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.
        
        ## Citation
        
        To cite Objaverse-XL, please cite our [📝 arXiv](https://arxiv.org/abs/2307.05663) paper with the following BibTeX entry:
        
        ```bibtex
        @article{objaverseXL,
          title={Objaverse-XL: A Universe of 10M+ 3D Objects},
          author={Matt Deitke and Ruoshi Liu and Matthew Wallingford and Huong Ngo and
                  Oscar Michel and Aditya Kusupati and Alan Fan and Christian Laforte and
                  Vikram Voleti and Samir Yitzhak Gadre and Eli VanderBilt and
                  Aniruddha Kembhavi and Carl Vondrick and Georgia Gkioxari and
                  Kiana Ehsani and Ludwig Schmidt and Ali Farhadi},
          journal={arXiv preprint arXiv:2307.05663},
          year={2023}
        }
        ```
        
        Objaverse 1.0 is available on 🤗Hugging Face at [@allenai/objaverse](https://huggingface.co/datasets/allenai/objaverse). To cite it, use:
        
        ```bibtex
        @article{objaverse,
          title={Objaverse: A Universe of Annotated 3D Objects},
          author={Matt Deitke and Dustin Schwenk and Jordi Salvador and Luca Weihs and
                  Oscar Michel and Eli VanderBilt and Ludwig Schmidt and
                  Kiana Ehsani and Aniruddha Kembhavi and Ali Farhadi},
          journal={arXiv preprint arXiv:2212.08051},
          year={2022}
        }
        ```
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Description-Content-Type: text/markdown
Provides-Extra: s3
