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arXiv Computer Vision By Sungjae Choi, Hanna Bae, Sunghyun Baek, Junmo Kim

VGGT-Bridge: Beyond Sequential Pose Graphs via Coarse-Stride Skip Edges

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VGGT-Bridge extends feed‑forward visual geometry transformers by adding long‑range skip edges between non‑adjacent chunks, reducing drift in multi‑view 3D reconstruction. It processes sparsely sampled coarse chunks to bridge distant fine chunks, corrects first‑frame scale bias with reverse‑direction sampling, and incorporates a loop‑aware policy for compatibility with loop closures. The method achieves up to 28.3% absolute trajectory error reduction on KITTI, 18.8% on Virtual KITTI, and 10.0% on Waymo Open compared to the SwiftVGGT baseline.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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