no code implementations • 29 Dec 2023 • Marco Orsingher, Anthony Dell'Eva, Paolo Zani, Paolo Medici, Massimo Bertozzi
Neural Radiance Fields (NeRF) have recently emerged as a powerful method for image-based 3D reconstruction, but the lengthy per-scene optimization limits their practical usage, especially in resource-constrained settings.
no code implementations • 24 Oct 2022 • Marco Orsingher, Paolo Zani, Paolo Medici, Massimo Bertozzi
We present a framework, called MVG-NeRF, that combines classical Multi-View Geometry algorithms and Neural Radiance Fields (NeRF) for image-based 3D reconstruction.
no code implementations • 18 Jul 2022 • Marco Orsingher, Paolo Zani, Paolo Medici, Massimo Bertozzi
In this paper, a complete pipeline for image-based 3D reconstruction of urban scenarios is proposed, based on PatchMatch Multi-View Stereo (MVS).
no code implementations • 18 Jul 2022 • Marco Orsingher, Paolo Zani, Paolo Medici, Massimo Bertozzi
Image datasets have been steadily growing in size, harming the feasibility and efficiency of large-scale 3D reconstruction methods.