Matrone, FrancescaChiabrando, FilibertoLingua, Andrea MariaCampana, StefanoFerdani, DanieleGraf, HolgerGuidi, GabrieleHegarty, ZackaryPescarin, SofiaRemondino, Fabio2025-09-052025-09-052025978-3-03868-277-6https://doi.org/10.2312/dh.20253184https://diglib.eg.org/handle/10.2312/dh20253184The digitisation of cultural heritage assets ensures an accurate digital archive for future generations and serves as a powerful tool for conveying the knowledge and significance of material heritage to the broader public. This contribution presents the overall goals of the HERITALISE project and the foreseen activities, which will combine AI tools for data processing and metadata and paradata creation. NeRF, 3D Gaussian Splatting and LLMs will be involved in the project with different aims ensuring the advancement of digitisation methodologies and standardisation in the cultural heritage field.Attribution 4.0 International LicenseCCS Concepts: General and reference → Cros-computing tools and techniques → Evaluation; Software and its engineering → Software organization and properties → Extra functional properties → Interoperability; Computing methodologies → Machine learning.General and reference → Croscomputing tools and techniques → EvaluationSoftware and its engineering → Software organization and properties → Extra functional properties → InteroperabilityComputing methodologies → Machine learning.10.2312/dh.202531844 pages