A COMPARISON BETWEEN 3D RECONSTRUCTION USING NERF NEURAL NETWORKS AND MVS ALGORITHMS ON CULTURAL HERITAGE IMAGES

20 citations as recorded by crossref.

1. Object-Centric 3D Gaussian Splatting for Traditional Carving Reconstruction J. Liu et al. https://doi.org/10.3390/heritage9070287
2. Research on acquiring maize aboveground structure data using NeRF-Based 3D reconstruction and point cloud segmentation K. KATO et al. https://doi.org/10.2480/cib.J085
3. Evaluating Neural Radiance Fields for Image-Based 3D Reconstruction: A Comparative Study with SfM-MVS A. Giaquinto et al. https://doi.org/10.3390/geomatics6010004
4. PriNeRF: Prior constrained Neural Radiance Field for robust novel view synthesis of urban scenes with fewer views K. Chen et al. https://doi.org/10.1016/j.isprsjprs.2024.07.015
5. Quantifying robustness: 3D tree point cloud skeletonization with smart-tree in noisy domains H. Dobbs et al. https://doi.org/10.1007/s10044-024-01238-3
6. Artificial intelligence adoption in the cultural heritage sector: A systematic review of trends, application domains, and challenges T. Harmanda et al. https://doi.org/10.1016/j.chbr.2026.101147
7. Leveraging NeRF for Cultural Heritage Preservation: A Case Study of the Katolička Porta in Novi Sad I. Vasiljević et al. https://doi.org/10.3390/electronics14193785
8. A comparative framework for neural rendering and photogrammetry for spherical images E. Balloni et al. https://doi.org/10.1007/s12518-026-00762-7
9. Assessment of 3D Model for Photogrammetric Purposes Using AI Tools Based on NeRF Algorithm M. Pepe et al. https://doi.org/10.3390/heritage6080301
10. Comparative Assessment of Neural Radiance Fields and Photogrammetry in Digital Heritage: Impact of Varying Image Conditions on 3D Reconstruction V. Croce et al. https://doi.org/10.3390/rs16020301
11. Evaluating the Point Cloud of Individual Trees Generated from Images Based on Neural Radiance Fields (NeRF) Method H. Huang et al. https://doi.org/10.3390/rs16060967
12. Enhancing dragline operations supervision through computer vision: real time height measurement of dragline spoil piles dump using YOLO P. Singh et al. https://doi.org/10.1080/19475705.2024.2322492
13. Comparative Analysis of 3D Reconstruction Results Using MVS and NeRF: Insights from PCA M. Maharani et al. https://doi.org/10.1088/1755-1315/1486/1/012020
14. Comparative Assessment of Neural Radiance Fields and 3D Gaussian Splatting for Point Cloud Generation from UAV Imagery M. Atik https://doi.org/10.3390/s25102995
15. Comprehensive Forensic Tool for Crime Scene and Traffic Accident 3D Reconstruction A. Ospina-Bohórquez et al. https://doi.org/10.3390/a18110707
16. 3D Reconstruction of Ancient Buildings Using UAV Images and Neural Radiation Field with Depth Supervision Y. Ge et al. https://doi.org/10.3390/rs16030473
17. GeoThangka Net for single-view 3D reconstruction of Thangka principal deities X. Guo et al. https://doi.org/10.1038/s40494-026-02672-8
18. Digital Recording of Historical Defensive Structures in Mountainous Areas Using Drones: Considerations and Comparisons L. Barazzetti et al. https://doi.org/10.3390/drones7080512
19. Conservation Beyond Geometry: Hybrid 3D Documentation and Digital Restoration of a Byzantine Leather Bag from Rhodes E. Iakovaki et al. https://doi.org/10.3390/heritage9060238
20. An ethical framework for trustworthy Neural Rendering applied in cultural heritage and creative industries L. Stacchio et al. https://doi.org/10.3389/fcomp.2024.1459807