pith:AR3M4W6X
VGGT-Long: Chunk it, Loop it, Align it -- Pushing VGGT's Limits on Kilometer-scale Long RGB Sequences
By dividing long video sequences into chunks and aligning their overlaps with lightweight loop closure, a foundation 3D model can produce accurate monocular reconstructions and trajectories over kilometer-scale outdoor paths without camera,
arxiv:2507.16443 v2 · 2025-07-22 · cs.CV
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Claims
VGGT-Long achieves trajectory and reconstruction performance comparable to traditional methods on KITTI, Waymo, and Virtual KITTI datasets without requiring camera calibration, depth supervision or model retraining.
That chunk-wise alignment plus lightweight loop closure will maintain global consistency and metric accuracy over kilometer-scale trajectories without drift or scale drift that would require additional constraints or supervision.
VGGT-Long extends VGGT with chunking, overlap alignment, and loop closure to produce consistent kilometer-scale 3D reconstructions from monocular RGB sequences without retraining or extra supervision.
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| First computed | 2026-05-17T23:38:14.546444Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Canonical record JSON
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