---
license: cc-by-nc-4.0
---
# TruncGradGS
Synthetic dynamic benchmark released with [TruncGradGS: Improved 3D Gaussian Splatting via Truncated Gradient Updates](https://dubiouscactus.github.io/trunc-grad-gs/) (Pacific Graphics 2026).
The benchmark is six path-traced scenes with large motion: fluids, foliage, night lighting, particles, and caustics. Each scene is 300 frames (10 s at 30 fps) at 1600×900. Cameras are arranged in rigs of several circular arrays. Evaluation holds out 1–4 cameras per scene; the remaining cameras are the training views.
**Five scenes are in this repo as Parquet files.** The underwater scene (`1_4_underwater`) is **coming soon**.
Project page:
Paper:
## Scenes
| Folder / Parquet | Scene | Cameras | Rig | Test Views | Depth | Status |
| --- | --- | --- | --- | --- | --- | --- |
| `1_1_neon` | Neon city | 42 | 6 × 7 | 3 | EXR | Released |
| `1_4_underwater` | Underwater | 36 | 6 × 6 | 2 | EXR | Coming soon |
| `4_5_tree` | Windy tree | 50 | 5 × 10 | 3 | EXR | Released |
| `alley` | Alley | 42 | 6 × 7 | 4 | EXR | Released |
| `bouncy_balls` | Bouncy balls | 40 | 4 × 10 | 4 | EXR | Released |
| `cup` | Water cup | 35 | 5 × 7 | 1 | EXR | Released |
## License
[](https://creativecommons.org/licenses/by-nc/4.0/)
This dataset is released under the [Creative Commons Attribution-NonCommercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/).
## Acknowledgement
Scenes by Adam Handschuh, funded by Dolby Laboratories, Inc. TruncGradGS is supported by Research Ireland (22/FFP-P/11522). Cite the paper below when you use the data.
## Citation
```bibtex
@inproceedings{morales2026truncgradgs,
title = {TruncGradGS: Improved 3D Gaussian Splatting via Truncated Gradient Updates},
author = {Morales, Th{\'e}o and Le-Pham, Nhat-Quynh and Atkins, Robin and Hua, Binh-Son},
booktitle = {Proceedings of Pacific Graphics 2026},
year = {2026},
publisher = {The Eurographics Association},
eprint = {2609.03534},
archivePrefix = {arXiv},
primaryClass = {cs.CV}
}
```