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Stable and Scalable Bundle Adjustment of Holistic 3D Structures

Paper recorded by Signals 4 on 2026-09-03 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-03 on arXiv · recorded by Signals 4 on 2026-09-04

Category: cs.CV · 计算机视觉 · first seen 2026-09-04

Abstract

Bundle Adjustment (BA) is a cornerstone of 3D computer vision and has benefited from decades of advances in sparse optimization and numerical methods. It was originally developed for jointly optimizing camera intrinsics, poses and sparse 3D points. While extensions incorporate lines and other primitives, integrating richer geometric structures such as parallelism, coplanarity, or wireframes often

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#157 most recent of 237 cs.CV papers we have recorded · ↑ newer: DSAQuant: Denoising-Stage-Aligned Quantization-Aware Training for Vide · ↓ older: SolarWM: Open Data and Scalable Training for Long-Horizon Video World
Cite this page: Stable and Scalable Bundle Adjustment of Holistic 3D Structures: the #157 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/stable-and-scalable-bundle-adjustment-of-holistic-3d-structures.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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