The importance of landscape and heritage recording and documentation with optical remote
sensing sensors is well recognized at international level. The continuous development of …

Building information modeling (BIM) has been widely adopted in the building industry.
However, the use of BIM in civil infrastructure facilities, sometimes referred to as civil …

The advancement of real-time 3D scene reconstruction and novel view synthesis has been
significantly propelled by 3D Gaussian Splatting (3DGS). However, effectively training large …

Abstract Recent work on Neural Radiance Fields (NeRF) showed how neural networks can
be used to encode complex 3D environments that can be rendered photorealistically from …

Neural signed distance functions (SDFs) are emerging as an effective representation for 3D
shapes. State-of-the-art methods typically encode the SDF with a large, fixed-size neural …

Neural radiance fields (NeRF) has achieved outstanding performance in modeling 3D
objects and controlled scenes, usually under a single scale. In this work, we focus on multi …

Neural approximations of scalar-and vector fields, such as signed distance functions and
radiance fields, have emerged as accurate, high-quality representations. State-of-the-art …

For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-
pixel ground truth labels from real images. We address this challenge by introducing …

The overall aim of this paper is to contribute to a better understanding of the Digital Twin
(DT) paradigm in the built environment by drawing inspiration from existing DT research in …

Novel view synthesis has seen major advances in recent years, with 3D Gaussian splatting
offering an excellent level of visual quality, fast training and real-time rendering. However …