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DiskChunGS enables large-scale 3D Gaussian SLAM via disk memory management

By PulseAugur Editorial · [1 sources] ·

Researchers have developed DiskChunGS, a novel 3D Gaussian Splatting SLAM system designed to overcome GPU memory limitations for large-scale 3D reconstructions. By employing an out-of-core approach, the system stores inactive scene parts on disk while keeping active regions in GPU memory. This method integrates with existing SLAM frameworks for pose estimation and loop closure, enabling consistent, large-scale reconstructions that have previously been constrained by hardware. AI

IMPACT Enables more extensive and detailed 3D reconstructions for robotics and AR/VR applications by overcoming hardware memory constraints.

RANK_REASON This is a research paper describing a new method for 3D reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DiskChunGS enables large-scale 3D Gaussian SLAM via disk memory management

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This is a research paper describing a new method for 3D reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [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: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management

    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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