MotionGS : Compact Gaussian Splatting SLAM by Motion Filter

Understand

With their high-fidelity scene representation capability, the attention of SLAM field is deeply attracted by the Neural Radiation Field (NeRF) and 3D Gaussian Splatting (3DGS).

• Recently, there has been a surge in NeRF-based SLAM, while 3DGS-based SLAM is sparse.
• A novel 3DGS-based SLAM approach with a fusion of deep visual feature, dual keyframe selection and 3DGS is presented in this paper.
• Compared with the existing methods, the proposed tracking is achieved by feature extraction and motion filter on each frame.