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Gianluca Bertolasi

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Open access Jul 2026

Modelling Transparent Surfaces in Heritage Artefacts with Gaussian Splatting

Abstract. The 3D reconstruction of cultural heritage artefacts plays a crucial role in documentation, conservation and dissemination. While recent advances in photogrammetry, laser scanning and neural rendering techniques have significantly improved the geometric accuracy and visual realism of digitised assets, the reconstruction of transparent and reflective materials - typical in museal collections - remains a major challenge. Materials such as glass, glazes and varnishes exhibit complex optical behaviours, leading to incomplete or inaccurate 3D models. Recent developments in Gaussian Splatting (GS) offer a potential alternative by enabling efficient, high-fidelity scene representation without explicit surface modelling. However, their application to non-Lambertian and transparent heritage objects remains largely unexplored. This paper presents a study on GS methods for the 3D digitisation of transparent cultural heritage artefacts. Through a series of experimental reconstructions, the work investigates the potential and limitations of GS, highlight the opportunities of hybrid pipelines for addressing long-standing challenges in the digitisation of non-collaborative materials.

Marco Medici, Andrea Sterpin, Stefano Settimo et al. · 0 citations
Open access Jul 2026

Combining Photogrammetry and Gaussian Splatting

This work proposes a hybrid reconstruction pipeline, leveraging the strengths and benefits of each technique, which exploits the accurate geometry of photogrammetry in well-textured regions and the GS capabilities to improve completeness and visual aspect in areas featuring non-collaborative surfaces.

Fabio Remondino, E. M. Farella, Gianluca Bertolasi et al. · 0 citations

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