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.
InsideOut achieves internal detail preservation while mitigating noise, thereby improving overall rendering fidelity.
InsideOut captures diverse normal distributions.
InsideOut visualizes external appearance and internal structures, enabling analysis and physical simulation.
Real-world Asset Diagnosis
@InProceedings{,
author = {},
title = {InsideOut: Integrated RGB-Radiative Gaussian Splatting for ComprehSensive 3D Object Representation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2025},
pages = {}
}