English

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

Computer Vision and Pattern Recognition 2025-10-22 v1

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.

Keywords

Cite

@article{arxiv.2510.17864,
  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},
  journal= {arXiv preprint arXiv:2510.17864},
  year   = {2025}
}

Comments

Published at ICCV 2025

R2 v1 2026-07-22T20:52:16.698Z