An automated semantic 3DGS segmentation pipeline integrating the Segment Anything Model 3 (SAM 3) with per-class prompting for Gaussian reconstruction, applied to a nadiral UAV dataset of the Siti Inggil heritage complex in Cirebon, Indonesia is proposed and evaluated.
W. A. Fadilah, Virgile Gauthier, A. Murtiyoso et al.· The International Archives o...· 0 citations
A comparative framework linking LiDAR-derived CityGML, semantic mesh, 3D Gaussian Splatting, and Triangle Splatting within a unified urban modelling workflow is established, proposing a conceptual foundation for a unified 3D urban model capable of transforming consistently into semantic, surface-based, and radiance-bas...
D. Suwardhi, Muhammad Arif Sudibyo, Agus Ambarwari et al.· The International Archives o...· 0 citations
3DGS can successfully be used with synthetic images to transform computationally heavy parametric models into highly optimised digital representations, ensuring near real-time visualisation suitable for immersive virtual reality and public dissemination.
E. Sommer, Arnadi Murtiyoso, M. Koehl et al.· The International Archives o...· 0 citations
This work investigates the potential of Mesh-In-the-Loop Gaussian Splatting (MILo), a recent extension of 3D Gaussian Splatting (3DGS) that integrates differentiable mesh extraction directly within the optimization process, enabling bidirectional consistency between volumetric and surface representations.
D. Billi, Chaimaa Delasse, Arnadi Murtiyoso et al.· The International Archives o...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
