 Photogrammetry has been a popular technique for documenting heritage sites for several decades. Recent advances in computer vision and AI have enabled photogrammetry to become more competitive with laser scanning technologies. One such development is neural radiance fields, NERF, which uses neural networks to create 3D representations of a scene from multiple images. This is much faster than traditional photogrammetry, but does not produce as accurate or dense a representation. Nonetheless, NERF shows promise as a complementary solution to photogrammetry. This article was authored by Amurtioso and P. Grussemeier.