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

9 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. Enhancing dragline operations supervision through computer vision: real time height measurement of dragline spoil piles dump using YOLO P. Singh et al. 10.1080/19475705.2024.2322492
4. 3D Reconstruction of Ancient Buildings Using UAV Images and Neural Radiation Field with Depth Supervision Y. Ge et al. 10.3390/rs16030473
5. PriNeRF: Prior constrained Neural Radiance Field for robust novel view synthesis of urban scenes with fewer views K. Chen et al. 10.1016/j.isprsjprs.2024.07.015
6. Quantifying robustness: 3D tree point cloud skeletonization with smart-tree in noisy domains H. Dobbs et al. 10.1007/s10044-024-01238-3
7. Digital Recording of Historical Defensive Structures in Mountainous Areas Using Drones: Considerations and Comparisons L. Barazzetti et al. 10.3390/drones7080512
8. Assessment of 3D Model for Photogrammetric Purposes Using AI Tools Based on NeRF Algorithm M. Pepe et al. 10.3390/heritage6080301
9. An ethical framework for trustworthy Neural Rendering applied in cultural heritage and creative industries L. Stacchio et al. 10.3389/fcomp.2024.1459807