Endo4DGSLAM: Multi-level deformable modeling with redundancy reduction for endoscopic non-rigid SLAM.
This work presents a dynamic GS-SLAM framework specifically tailored for endoscopic environments that reuses deformation information to construct a motion mask, which mitigates the influence of locally dynamic tissues on camera tracking and reduces unnecessary backpropagation during optimization.