Moving museums into the Metaverse

Abstract

In recent years, the fusion of advanced technologies with virtual reality has opened new cultural preservation and engagement avenues. This dissertation explores the innovative application of Neural Radiance Fields (NeRF) technology in transcending the boundaries of physical museums and transporting their treasures into the metaverse. While classical computer vision has seen substantial progress, a developing intersection exists between NeRF and cultural heritage preservation. This study bridges this gap by introducing an approach that amalgamates NeRF techniques with the rich cultural wealth of museums.The conventional museum experience is extended into the metaverse through a novel methodology that leverages NeRF’s capabilities. The core objective is to enable individuals to explore digitized museum artifacts with unparalleled realism. NeRF technology captures intricate visual details and enables immersive interactions by rendering scenes with volumetric precision, transforming how cultural artifacts are experienced and understood.This dissertation delves into the technical intricacies of integrating NeRF technology into the metaverse. The implementation involves the reconstruction of 3D artifact models. The results underscore the potential of NeRF to reshape the cultural heritage landscape by bridging the gap between traditional museums and the boundless possibilities of the metaverse.