This paper presents a critical analysis of image-based 3D reconstruction using neural
radiance fields (NeRFs), with a focus on quantitative comparisons with respect to traditional …

Artificial intelligence (AI) techniques have been increasingly applied in assisting various
cultural heritage (CH)-related tasks. The aim of this study is to examine the research trends …

Artificial intelligence (AI) is a game changer in many fields, including cultural heritage. It
supports the planning and preservation of heritage sites and cities, enables the creation of …

This paper conducts a comparative evaluation between Neural Radiance Fields (NeRF) and
photogrammetry for 3D reconstruction in the cultural heritage domain. Focusing on three …

Digital recording of historic buildings and sites in mountainous areas could be challenging.
The paper considers and discusses the case of historical defensive structures in the Italian …

3D Gaussian splatting (3DGS) offers the capability to achieve real-time high quality 3D
scene rendering. However, 3DGS assumes that the scene is in a clear medium environment …

Purpose This study aims to investigate the performance analysis, science mapping and
future direction of artificial intelligence (AI) technology, applications, tools and software used …

Neural radiance fields have emerged as a dominant paradigm for creating complex 3D
environments incorporating synthetic novel views. However, 3D object removal applications …

The aim of the paper is to analyse the performance of the Neural Radiance Field (NeRF)
algorithm, implemented in Instant-NGP software, for photogrammetric purposes. To achieve …

Three-dimensional (3D) reconstruction of trees has always been a key task in precision
forestry management and research. Due to the complex branch morphological structure of …