metadata
pretty_name: X-Splat
license: cc-by-nc-4.0
viewer: false
tags:
- gaussian-splatting
- x-ray
- computed-tomography
- 3d-reconstruction
X-Splat: Unified Gaussian Splatting for Joint RGB and X-ray 3D Reconstruction
SIGGRAPH Asia 2026 Conference Papers | Project page | Code
Data for the X-Splat code: our insect scenes, our foreground masks for the InsideOut scenes, and our trained models. How to use them is in the code's DATA.md.
| File | Size | Contents |
|---|---|---|
xsplat_insect_processed.zip |
605 MB | insect scene packages (E02, E15, E32), ready to train |
xsplat_insideout_mask_annotations.zip |
2.4 MB | our foreground masks for the InsideOut scenes |
xsplat_checkpoints_and_results.zip |
63 MB | our trained models (insect, Flower) and the metrics of all nine scenes |
SHA256SUMS.txt |
checksums of the three archives |
# everything, into the code's data/ directory
hf download zezeaaa/X-Splat --repo-type dataset --local-dir data
# or a single archive
hf download zezeaaa/X-Splat xsplat_insect_processed.zip --repo-type dataset --local-dir data
cd data && unzip xsplat_insect_processed.zip
The InsideOut and Flower data are not included; DATA.md says where to get them.
License and citation
CC BY-NC 4.0. Please cite X-Splat, and for the Flower models also the flower CT library (Ijiri et al., ACM TOG 2014).
@inproceedings{xu2026xsplat,
title = {X-Splat: Unified Gaussian Splatting for Joint RGB and X-ray 3D Reconstruction},
author = {Xu, Wangze and Zhou, Chu and Yamaguchi, Mae and Dai, Linrui and
Shen, I-Chao and Ijiri, Takashi and Sato, Imari},
booktitle = {SIGGRAPH Asia 2026 Conference Papers},
year = {2026}
}