license: odc-by
NuiScene43 Dataset
The NuiScene43 dataset offers a curated collection of moderate to large artist-created outdoor scenes, filtered from Objaverse, for training and testing unbounded scene generation methods. We manually unified the scene scales and ground geometry to enable consistent joint training across all 43 scenes. This repo includes the preprocessed occupancy grid and point cloud sampled from scenes for training NuiScene. Please see the dataset page for renderings of the 43 scenes, also the paper or project page for more details.
License
We use the same ODC-By v1.0 license as Objaverse for usage of the dataset as a whole. The individual objects may be under the following licenses:
- CC-BY 4.0
- CC-BY-NC 4.0
- CC-BY-NC-SA 4.0
- CC-BY-SA 4.0
- CC0 1.0
We include the metadata from the Objaverse repo for the 43 scenes in metadata/nuiscene43_metadata.json where you can check the licenses for individual scenes.
Citation
If you use our dataset please cite our paper and Objaverse:
@InProceedings{Lee_2025_ICCV,
author = {Lee, Han-Hung and Han, Qinghong and Chang, Angel X.},
title = {NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2025},
pages = {26509-26518}
}}
@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}
}