arXiv Computer Vision
1d ago

Georeferenced Cross-View 3D Reconstruction from Ground and Satellite Images

The paper introduces X‑VGGT, a feed‑forward cross‑view geometry transformer that jointly processes ground‑level images and a georeferenced satellite image to predict ground‑view camera poses, dense 3D point maps, and a scene‑level transform (gravity, scale, yaw, translation). This transform projects the local reconstruction into the satellite plane, achieving geo‑registration of all ground images with the satellite image. The authors also propose an evaluation protocol and demonstrate that X‑VGGT outperforms prior cross‑view geo‑localization and multi‑view 3D reconstruction models across multiple datasets.

By David G. Shatwell, Mubarak Shah
arXiv Computer Vision
Oct 2

Wrivinder: Towards Spatial Intelligence for Geo-locating Ground Images onto Satellite Imagery

arXiv:2602.14929v2 Announce Type: replace Abstract: Aligning ground-level imagery with geo-registered satellite maps is crucial for mapping, navigation, and situational awareness, yet remains challen...

By Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Abhay Yadav, Ananth Vishnu Bhaskar, Hardik Prajapati, Cheng Peng, Rama Chellappa, Shivkumar Chandrasekaran, B. S. Manjunath
arXiv Computer Vision
Sep 1

Ground-to-Satellite Localization in Unconstrained Image Collections for 3D Scene Reconstruction

arXiv:2608.29211v1 Announce Type: new Abstract: Ground image localization with respect to satellite imagery is a key enabler for metrically-accurate, geo-localized 3D scene reconstruction from uncons...

By Angel Daruna, Ben Southall, Niluthpol Chowdhury Mithun, Kshitij Minhas, Nicholas Meegan, Qiao Wang, Bogdan Matei, Supun Samarasekera, Rakesh Kumar