NERF FOR HERITAGE 3D RECONSTRUCTION

11 citations as recorded by crossref.

1. 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
2. Evaluating the Point Cloud of Individual Trees Generated from Images Based on Neural Radiance Fields (NeRF) Method H. Huang et al. 10.3390/rs16060967
3. Landscape Reconstruction with Earth-and-Timber Medieval Stronghold—Immersive Geovisualization J. Zawadzki & B. Medyńska-Gulij 10.3390/land13081323
4. Semantic Enrichment of Architectural Heritage Point Clouds Using Artificial Intelligence: The Palacio de Sástago in Zaragoza, Spain M. Buldo et al. 10.3390/heritage7120321
5. Multi‐tiling neural radiance field (NeRF)—geometric assessment on large‐scale aerial datasets N. Xu et al. 10.1111/phor.12498
6. An ethical framework for trustworthy Neural Rendering applied in cultural heritage and creative industries L. Stacchio et al. 10.3389/fcomp.2024.1459807
7. Bridging the past and present: AI-driven 3D restoration of degraded artefacts for museum digital display R. Stoean et al. 10.1016/j.culher.2024.07.008
8. Automatic Removal of Non-Architectural Elements in 3D Models of Historic Buildings with Language Embedded Radiance Fields A. Rusnak et al. 10.3390/heritage7060157
9. Evaluating Neural Radiance Fields for 3D Plant Geometry Reconstruction in Field Conditions M. Arshad et al. 10.34133/plantphenomics.0235
10. A Critical Analysis of NeRF-Based 3D Reconstruction F. Remondino et al. 10.3390/rs15143585
11. Digital Recording of Historical Defensive Structures in Mountainous Areas Using Drones: Considerations and Comparisons L. Barazzetti et al. 10.3390/drones7080512