研究人员推出了Holo360D，一个旨在改进全景3D重建的新大规模数据集。该数据集包含超过109,000张全景图，并配有注册的点云、网格和相机姿态，解决了现有数据集使用离散相机位置的局限性。Holo360D使用3D激光扫描仪和360相机收集，并通过SLAM系统和定制的后处理流程得到增强，提供了连续轨迹和高完整度的深度图。该数据集旨在为推进前馈3D重建模型，特别是在多视图场景中，建立新的基准。 AI
影响 提供了一个新的基准和数据集，以推进全景3D重建模型。
排序理由 该集群描述了一个在arXiv上发布的新3D重建数据集和基准。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2604.22482v1 Announce Type: new Abstract: While feed-forward 3D reconstruction models have advanced rapidly, they still exhibit degraded performance on panoramas due to spherical distortions. Moreover, existing panoramic 3D datasets are predominantly collected with 360 came…
While feed-forward 3D reconstruction models have advanced rapidly, they still exhibit degraded performance on panoramas due to spherical distortions. Moreover, existing panoramic 3D datasets are predominantly collected with 360 cameras fixed at discrete locations, resulting in di…