arXiv Computer Vision By Zhuoxiao Li, Xinyi Liu, Taoyu Wu, Yinrui Ren, Tongyan Hua, Ou Jing, Shuai Zhang, Dongli Wu, Rongjun Qin, Ge Lin Kan, Wufan Zhao

SkyAnchor: Updating Metric-scale Aerial 3D Gaussian Scenes from Unposed Ground-View Sequences

Read the original on arXiv Computer Vision →

The Flow has not summarised this story yet — read it at arXiv Computer Vision.

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 4

VI3: Grounding Pretrained 3D Foundation Models with Inertial Cues

VI3 is a model‑agnostic framework that grounds pretrained 3D foundation models (3DFMs) by using inertial measurement unit (IMU) data to provide metric scale. It initializes and preintegrates IMU readings to create a metric motion reference, which is then used to recover the scale of 3DFM outputs. The approach includes adaptable anchoring strategies for different 3DFM architectures and demonstrates scale recovery on synthetic and real aerial datasets without ground‑truth supervision.

By Ernesto Lozano, Alberto Jaenal, Javier Civera
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