SceneSplat-49K
We present SceneSplat-49K, a large-scale 3D Gaussian Splatting dataset comprising approximately 49K raw scenes and 45K curated 3DGS scenes, aggregated from multiple established sources including SceneSplat-7K, DL3DV-10K, HoliCity, Aria Synthetic Environments, and our own crowdsourced data. This diverse dataset consists of both indoor and outdoor environments, spanning from rooms, apartments to streets. The dataset in total contains 26.12 Billion Gaussian splats optimized from 22.4 Million RGB frames, with an average of 1.25M Gaussians per scene.
Please find here the links to each component of the dataset. Note we have updated the data parts of DL3DV-GS and AriaSyntheticEnvGS with improved quality, make sure to download from the new links.
Citation
If you find our work helpful, please consider citing:
@article{ma2025scenesplat++,
title={SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting},
author={Ma, Mengjiao and Ma, Qi and Li, Yue and Cheng, Jiahuan and Yang, Runyi and Ren, Bin and Popovic, Nikola and Wei, Mingqiang and Sebe, Nicu and Van Gool, Luc and others},
journal={arXiv preprint arXiv:2506.08710},
year={2025}
}
Acknowledgements
We sincerely thank all the author teams of the original datasets for their contributions and for making their data publicly available. Our 3DGS scenes are optimized using gsplat repository.
