English(EN) Interp3R: Continuous-time 3D Geometry Estimation with Frames and Events

新方法 Interp3R 实现连续时间 3D 几何估计

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-01 04:00

研究人员开发了 Interp3R，一种新颖的方法，通过实现连续时间几何估计来增强 3D 视觉基础模型。与仅在离散帧瞬间捕获几何的先前模型不同，Interp3R 利用异步事件数据在帧之间进行插值。这使得能够更全面地理解捕获图像之间的场景演变。该方法在合成数据上进行了训练，但在多个真实世界和合成数据集上表现出强大的泛化能力，在减少深度和轨迹误差方面优于现有的两阶段基线。 AI

影响通过在离散帧之间插值几何，实现更全面的 3D 场景理解。

排序理由该集群描述了一篇关于新颖 3D 几何估计方法的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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本文如何被排名

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Shuang Guo, Filbert Febryanto, Lei Sun, Luc Van Gool, Guillermo Gallego · 2026-10-01 04:00

Interp3R：使用帧和事件进行连续时间三维几何估计

arXiv:2603.14528v3 Announce Type: replace Abstract: In recent years, 3D visual foundation models, pioneered by pointmap-based approaches such as DUSt3R, have attracted a lot of interest, achieving impressive accuracy and strong generalization across diverse scenes. However, these…

本文如何被排名

报道来源 [1]

Interp3R：使用帧和事件进行连续时间三维几何估计

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