Empowering Feed-Forward Reconstruction Models with Metric Scale via Satellite Images
Researchers have developed a new method to resolve the scale ambiguity in feed-forward 3D reconstruction models by utilizing satellite imagery as a global metric reference. This approach integrates satellite patches with reconstruction backbones, enforcing consistency to infer absolute scale, refine geometry, and estimate camera pose in a metric coordinate frame. The framework demonstrated improvements in metric depth estimation, point-cloud reconstruction, and camera localization across multiple datasets. AI
IMPACT Enables metric understanding in 3D reconstruction, crucial for applications requiring precise environmental measurement.