SOURCE-LINKED INTELLIGENCE

BLASt3R: Bundle Adjustment of Any Image Set with Multi-View Matching and Monocular Priors

arXiv · AI, language, vision and robotics · article · Sep 4, 2026 · UTC

Recent hybrid Structure-from-Motion (SfM) systems combine the robustness of feed-forward 3D reconstruction with the accuracy of traditional bundle adjustment (BA) with pixel matching. They are usually the best performing methods however their scalability and usability remains limited since estimating dense correspondences between views is prohibitively costly, especially considering time constraints inherent to online applications like Visual SLAM (VSLAM). In this paper, we introduce a regularized BA framework that leverages a fast multi-view matcher and monocular priors for initialization and

Read original source ↗ Open in workspace

recordType

paper

region

Global