 This research paper proposes a novel approach for 3D documentation of ancient statues. It combines TLS acquisition with a NBS pipeline using images from a DJI Mavic-2 drone. Additionally, the study compares the accuracy and final product of the D-points, D-P, and neural radiance fields, NERF, methods, using the TLS acquisition as validation ground truth. The main contribution of this paper is to improve our understanding of this method and compare the accuracy and final product of two different approaches, direct projection, D-P, and NERF, by exploiting a TLS acquisition as the validation ground truth. Results show that the NERF approach outperforms D-P in terms of accuracy and produces a more realistic final product. This paper has important implications for the field of CH preservation, as it offers a new and effective method for generating 3D models of ancient statues. This technology can help to document and preserve important cultural artifacts for future generations, while also providing new insights into the history and culture of different civilizations. This article was authored by E. Bologna, L. Gorgolione, M. Palanti, and others. We are article.tv. Links in the description below.