INITIAL ASSESSMENT ON THE USE OF STATE-OF-THE-ART NERF NEURAL NETWORK 3D RECONSTRUCTION FOR HERITAGE DOCUMENTATION

9 citations as recorded by crossref.

1. Digital Recording of Historical Defensive Structures in Mountainous Areas Using Drones: Considerations and Comparisons L. Barazzetti et al. 10.3390/drones7080512
2. Automatic Removal of Non-Architectural Elements in 3D Models of Historic Buildings with Language Embedded Radiance Fields A. Rusnak et al. 10.3390/heritage7060157
3. Artificial Intelligence at the Interface between Cultural Heritage and Photography: A Systematic Literature Review C. Silva & L. Oliveira 10.3390/heritage7070180
4. AI tools for generating Digital Heritage Twins enhancing storytelling in educational games N. Kilis et al. 10.1016/j.daach.2025.e00451
5. Assessment of 3D Model for Photogrammetric Purposes Using AI Tools Based on NeRF Algorithm M. Pepe et al. 10.3390/heritage6080301
6. Comparative Assessment of Neural Radiance Fields and Photogrammetry in Digital Heritage: Impact of Varying Image Conditions on 3D Reconstruction V. Croce et al. 10.3390/rs16020301
7. Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe S. Münster et al. 10.3390/heritage7020038
8. Comparative Assessment of Neural Radiance Fields and 3D Gaussian Splatting for Point Cloud Generation from UAV Imagery M. Atik 10.3390/s25102995
9. Exploring the Application of NeRF in Enhancing Post-Disaster Response: A Case Study of the Sasebo Landslide in Japan J. Zhang et al. 10.3390/ijgi14060218