InsideOut: Integrated RGB-Radiative Gaussian Splatting for Comprehensive 3D Object Representation

Jungmin Lee, Seonghyuk Hong, Juyong Lee, Jaeyoon Lee, Jongwon Choi
10/15/2025
cs.CV

No confident code implementation found for this paper. 1 possible match can be shown below.

Abstract

We introduce InsideOut, an extension of 3D Gaussian splatting (3DGS) that bridges the gap between high-fidelity RGB surface details and subsurface X-ray structures. The fusion of RGB and X-ray imaging is invaluable in fields such as medical diagnostics, cultural heritage restoration, and manufacturing. We collect new paired RGB and X-ray data, perform hierarchical fitting to align RGB and X-ray radiative Gaussian splats, and propose an X-ray reference loss to ensure consistent internal structures. InsideOut effectively addresses the challenges posed by disparate data representations between the two modalities and limited paired datasets. This approach significantly extends the applicability of 3DGS, enhancing visualization, simulation, and non-destructive testing capabilities across various domains.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{lee2025insideout,
  title  = {InsideOut: Integrated RGB-Radiative Gaussian Splatting for Comprehensive 3D Object Representation},
  author = {Jungmin Lee and Seonghyuk Hong and Juyong Lee and Jaeyoon Lee and Jongwon Choi},
  year   = {2025},
  eprint = {2510.17864},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2510.17864v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2510.17864.svg)](https://codeofpaper.com/paper/2510.17864)

Discussion