
SGS-SLAM is a novel semantic visual SLAM system based on Gaussian splatting, offering state-of-the-art performance in camera pose estimation, map reconstruction, precise semantic segmentation, and object-level geometric accuracy.


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sgs-slam-semantic-gaussian-splatting-for-neural-dense-slam


SGS-SLAM: Semantic Gaussian Splatting for Neural Dense SLAM


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SGS-SLAM introduces a novel approach to dense SLAM using Gaussian splatting, achieving state-of-the-art performance in camera pose estimation, map reconstruction, and semantic segmentation.
