Glob3R: Global Structure-from-Motion with 3D Foundation Models

Understand

Recent 3D geometric foundation models, such as VGGT, provide robust feed-forward 3D reconstruction by directly predicting camera poses and 3D scene points from input images.

• However, their results remain inaccurate, and scaling them to long sequences or large unordered image sets typically requires chunk-wise processing, which can introduce drift and inconsistency.
• We present Glob3R, a global SfM-style reconstruction built on 3D foundation models.
• Our key idea is to explicitly optimize feed-forward geometric predictions.