RP-SLAM reports state-of-the-art rendering quality and compact model size for 3DGS-based SLAM by combining gradient-guided adaptive sampling, KNN filtering, a dynamic keyframe window, and sparse-point-cloud monocular initialization.
imap: Implicit mapping and positioning in real-time,
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RP-SLAM: Real-time Photorealistic SLAM with Efficient 3D Gaussian Splatting
RP-SLAM reports state-of-the-art rendering quality and compact model size for 3DGS-based SLAM by combining gradient-guided adaptive sampling, KNN filtering, a dynamic keyframe window, and sparse-point-cloud monocular initialization.