| --- |
| license: cc-by-sa-4.0 |
| tags: |
| - olat |
| pretty_name: 'Dataset for BiGS: Bidirectional Primitives for Relightable 3D Gaussian Splatting' |
| --- |
| |
| # BiGS Dataset |
|
|
| The OLAT dataset used in the paper _BiGS: Bidirectional Primitives for Relightable 3D Gaussian Splatting_ (3DV 2025). Check out our [project page](https://desmondlzy.me/publications/bigs/). |
|
|
| We provide 7 synthetic scenes in the dataset, featuring various complex light transport effects, such as subsurface scattering, fuzzy surfaces, and iridescent reflection. |
|
|
| Each scene (1.8 ~ 3.2 GB) consists of: |
| - 40 training OLAT conditions (`olat_1` - `olat_40`) with 48 views per light condition; |
| - 58 test OLAT conditions (`olat_41` - `olat_98`) with 1 view per light condition; |
| - 1 all-light-on conditions (`olat_all`) with 48 views per light conditions. |
|
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| Each light condition includes `.exr` images, object masks, transforms with camera poses, light positions and intensities. |
|
|
| Please refer to our [github repo](https://github.com/desmondlzy/bigs) for how to use the dataset provided here to train BiGS, |
| and our [paper (arxiv)](https://www.arxiv.org/abs/2408.13370) for details of BiGS. |
|
|
| ## Citation |
|
|
| If you use our dataset in your research, please consider citing us with the below bibtex entry: |
| ``` |
| @misc{zhenyuan2024bigs, |
| title={BiGS: Bidirectional Primitives for Relightable 3D Gaussian Splatting}, |
| author={Liu Zhenyuan and Yu Guo and Xinyuan Li and Bernd Bickel and Ran Zhang}, |
| year={2024}, |
| eprint={2408.13370}, |
| url={https://arxiv.org/abs/2408.13370}, |
| } |
| ``` |
|
|
| ## Acknowledgments |
|
|
| Our synthetic data is generated using [Mitsuba](https://mitsuba.readthedocs.io/en/stable/). |
| We thank the 3D models' creators: |
| Keenan Crane for _Spot_; |
| Stanford Computer Graphics Laboratory for the models _Dragon_ and _Bunny_; |
| Wenzel Jakob for the model _Mistuba Ball_. |
| Special thanks to Changxi Zheng for supporting the internship program at Tencent Pixel Lab. |
|
|
