MAGS-SLAM is the first RGB-only multi-agent 3D Gaussian Splatting SLAM framework that matches RGB-D performance via compact submap sharing, geometry-appearance loop verification, and occupancy-aware fusion.
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GEMM-GS converts 3DGS blending into GEMM form to use Tensor Cores, yielding 1.42x speedup over vanilla 3DGS and further gains when stacked with prior accelerators.
citing papers explorer
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MAGS-SLAM: Monocular Multi-Agent Gaussian Splatting SLAM for Geometrically and Photometrically Consistent Reconstruction
MAGS-SLAM is the first RGB-only multi-agent 3D Gaussian Splatting SLAM framework that matches RGB-D performance via compact submap sharing, geometry-appearance loop verification, and occupancy-aware fusion.
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GEMM-GS: Accelerating 3D Gaussian Splatting on Tensor Cores with GEMM-Compatible Blending
GEMM-GS converts 3DGS blending into GEMM form to use Tensor Cores, yielding 1.42x speedup over vanilla 3DGS and further gains when stacked with prior accelerators.