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The 3D-RTR project aims to develop a new framework for realistic 3D reconstruction of city models using remote sensing images. By utilizing a unified representation of the imaging process, it seeks to enhance the quality and immersion of 3D scenes while addressing computational efficiency challenges.
Realistic 3D reconstruction from multiple Remote Sensing (RS) images has been studied as a Multi-View Stereo process, in which 3D scenes are reconstructed progressively in terms of geometry and appearance.
This method can introduce artifacts and compromise realism.
Recently, a new framework in neural rendering, the Neural Radiance Field (NeRF) and its variants, e.g. 3D-GS, which model both geometry and appearance of a scene within a radiance field, has delivered a more immersive scene.
However,…
FONDAZIONE BRUNO KESSLER
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