In recent years, the need for heritage preservation and reconstruction has become evi-
dent as many mature buildings face the risk of deterioration, damage or loss due to fac-
tors such as urban development, environmental weathering as well as outdated infras-
tructure. This urgency has created surges of significant interest to find sustainable meth-
ods of heritage preservation. The rise of emerging digital technologies has introduced
a multitude of innovative methods for storing, analysing, and showcasing building data.
Technologies such as 3D LiDAR scanning, and Building Information Modelling enable de-
tailed documentation and virtual exploration of heritage sites, while digital databases and
archives facilitate the easy access and use of historical records. This project will attempt
to address a new method of heritage preservation by using Gaussian Splatting in con-
junction with segmentation methods to create a visually accurate model while also incor-
porating semantic labels.