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}
}