LoBE-GS: Load-Balanced and Efficient 3D Gaussian Splatting for Large-Scale Scene Reconstruction
Paper • 2510.01767 • Published
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LoBE-GS Dataset
This repository provides the preprocessed datasets used in LoBE-GS: Load-Balanced and Efficient 3D Gaussian Splatting for Large-Scale Scene Reconstruction.
Resources
Dataset Organization
The datasets are organized into two configurations:
original-poses/: Datasets with original camera parameters, used in the main paper and supplementary experiments except Supplementary Material Section G.refined-poses/: Datasets with COLMAP-re-estimated camera parameters, used in Supplementary Section G for camera pose re-estimation and appearance modeling experiments.
The experiments cover scenes from MatrixCity, Mill19, and UrbanScene3D.
Download
Download the entire dataset:
hf download Sunnyhong0326/LoBE-GS-Dataset \
--repo-type dataset \
--local-dir ./datasets
Download only the original-pose configuration:
hf download Sunnyhong0326/LoBE-GS-Dataset \
--repo-type dataset \
--include "original-poses/**" \
--local-dir ./datasets
For refined poses, replace original-poses with refined-poses.
Citation
If you use these datasets in your research, please cite the original dataset papers and our LoBE-GS paper.
License
Please refer to the licenses and usage restrictions of the original MatrixCity, Mill19, and UrbanScene3D datasets.
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