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SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM
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site name
author
updated
2026-03-02 19:43:53
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SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM CVPR 2024 Nikhil Keetha 1 , Jay Karhade 1 , Krishna Murthy Jatavallabhula 2 , Gengshan Yang 1 , Sebastian Scherer 1 , Deva Ramanan 1 , Jonathon Luiten 1 1 Carnegie Mellon University , 2 Massachusetts Institute of Technology Paper arXiv Video Thread Code Demo 1 Demo 2 SplaTAM enables precise camera tracking and high-fidelity reconstruction in challenging real-world scenarios. Abstract Dense simultaneous localization and mapping (SLAM) is crucial for robotics and augmented reality applications. However, current methods are often hampered by the non-volumetric or implicit way they represent a scene. This work introduces SplaTAM, an approach that, for the first time, leverages explicit volumetric representations, i.e., 3D Gaussians, to enable high-fidelity reconstruction from a sing...
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