model_id stringlengths 27 32 | type_id stringclasses 139
values | user_id stringclasses 47
values | anno_time int64 5 59.5k | mesh_face_num stringlengths 8 5.86k ⌀ | masks stringlengths 20 6.62M | hierarchyList stringlengths 64 401k |
|---|---|---|---|---|---|---|
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[Neurips 2025 DB] PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
Official dataset release for PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding.
Penghao Wang, Yiyang He, Xin Lv, Yukai Zhou, Lan Xu, Jingyi Yu, Jiayuan Gu†
ShanghaiTech University
Neurips 2025 Dataset and Benchmark Track
| Project Page | Paper | Dataset | Dataset Toolkit | Benchmark code (Soon) | Annotation code (Soon) |
Usage
For usage, please refer to our dataset toolkit repo https://github.com/AuthorityWang/PartNeXt
Acknowledgement
Our PartNeXt dataset is based on Objaverse, ABO, 3D-Future, thanks for these awesome datasets. If there is any license issue, please contact us and we will remove the data.
Thanks for Benyuan AI data for data annotation.
If you find our dataset useful in your research, please consider citing our paper.
BibTex Coming Soon
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