Case study explores enhancing neural radiance field rendering for seismic vulnerability assessments in built heritage.
Neural Radiance Field (NeRF) rendering methodologies provide 3D reconstructions which better represent features and characteristics common to built heritage, which are otherwise poorly represented by traditional structure from motion reconstruction and rendering techniques. It is currently limited in its ability to scale to large projects. This paper, through a case study involving large scale seismic vulnerability surveys in San Marino, investigates and proposes systems which can extend NERF rendering to large multiscalar datasets linked by geographic coordinates.
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Mai et al. (2025) studied this question.
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