Author

M. Galun

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#graph neural networks Preprint Sep 2026

Learning Global Camera Poses from Noisy View-Graphs for Structure from Motion

This work presents a deep, global Structure-from-Motion framework based on learned view-graph aggregation that employs a permutation-equivariant, edge-conditioned graph neural network that takes noisy pairwise relative poses as input and outputs globally consistent camera extrinsics.

Fadi Khatib, M. Galun, R. Basri · 0 citations