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English(EN) DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management

DiskChunGS通过磁盘内存管理实现大规模3D高斯SLAM

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了DiskChunGS，一个新颖的3D高斯泼溅SLAM系统，旨在克服大规模3D重建的GPU内存限制。通过采用out-of-core方法，该系统将非活动场景部分存储在磁盘上，同时将活动区域保留在GPU内存中。该方法与现有的SLAM框架集成，用于姿态估计和回环检测，从而实现以前受硬件限制的一致性、大规模重建。 AI

影响 通过克服硬件内存限制，为机器人和AR/VR应用实现更广泛、更详细的3D重建。

排序理由 这是一篇描述新3D重建方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

DiskChunGS通过磁盘内存管理实现大规模3D高斯SLAM

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这是一篇描述新3D重建方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Casimir Feldmann, Maximum Wilder-Smith, Vaishakh Patil, Michael Oechsle, Michael Niemeyer, Keisuke Tateno, Marco Hutter ·

    DiskChunGS: 通过分块内存管理实现大规模3D高斯SLAM

    arXiv:2511.23030v2 Announce Type: replace-cross Abstract: Recent advances in 3D Gaussian Splatting (3DGS) have demonstrated impressive results for novel view synthesis with real-time rendering capabilities. However, integrating 3DGS with SLAM systems faces a fundamental scalabili…

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