DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management
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.