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license: cc-by-4.0
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---
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license: cc-by-4.0
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---
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# [Neurips 2025 DB] PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
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Official dataset release for _PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding_.
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[](https://authoritywang.github.io/partnext/)
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[](https://authoritywang.github.io/partnext/)
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[](https://huggingface.co/datasets/AuWang/PartNeXt)
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**[Penghao Wang](https://authoritywang.github.io/), Yiyan He, Xin Lv, Yukai Zhou, [Lan Xu](https://www.xu-lan.com/), [Jingyi Yu](http://www.yu-jingyi.com/cv/), [Jiayuan Gu†](https://jiayuan-gu.github.io/)**
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**ShanghaiTech University**
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**Neurips 2025 Dataset and Benchmark Track**
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| [Project Page](https://authoritywang.github.io/partnext/) | [Paper]() | [Dataset](https://huggingface.co/datasets/AuWang/PartNeXt) | [Dataset Toolkit](https://github.com/AuthorityWang/PartNeXt) | [Benchmark code (Soon)]() | [Annotation code (Soon)]() |<br>
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## Usage
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For usage, please refer to our dataset toolkit repo [https://github.com/AuthorityWang/PartNeXt](https://github.com/AuthorityWang/PartNeXt)
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## Acknowledgement
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Our PartNeXt dataset is based on [Objaverse](https://objaverse.allenai.org/), [ABO](https://amazon-berkeley-objects.s3.amazonaws.com/index.html), [3D-Future](https://tianchi.aliyun.com/dataset/98063), thanks for these awesome datasets. If there is any license issue, please contact us and we will remove the data.
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Thanks for Benyuan AI data for data annotation.
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If you find our dataset useful in your research, please consider citing our paper.
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```
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BibTex Coming Soon
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```
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