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HiP3R: Hierarchical Pose Graphs for Long-Horizon 3D Reconstruction

Paper recorded by Signals 4 on 2026-10-22 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-22 on arXiv · recorded by Signals 4 on 2026-10-23

Category: cs.CV · 计算机视觉 · first seen 2026-10-23

Abstract

Feed-forward models accurately estimate camera motion and 3D geometry from short video windows. However, computational and memory costs prevent direct inference on sequences containing thousands of frames. Long videos must therefore be processed as overlapping chunks. This division produces independent local reconstructions with inconsistent coordinate frames and duplicate estimates of shared came

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#180 most recent of 756 cs.CV papers we have recorded · ↑ newer: WorldForge V2: Eliciting Camera-Trajectory Alignment in Video Diffusio · ↓ older: F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D C
Cite this page: HiP3R: Hierarchical Pose Graphs for Long-Horizon 3D Reconstruction: the #180 most recent of 756 cs.CV papers we have recorded (as of 2026-10-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hip3r-hierarchical-pose-graphs-for-long-horizon-3d-reconstruction.html
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