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CVPR2025Top-tier venue

WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments

Jianhao Zheng, Zihan Zhu, Valentin Bieri, Marc Pollefeys, Songyou Peng, Iro Armeni

2025Year
16Top-tier citations

Abstract

Microsoft wildgs-slam.github.io Figure 1 . WildGS-SLAM. Given a monocular video sequence captured in the wild with dynamic distractors, our method accurately tracks the camera trajectory and reconstructs a 3D Gaussian map for static elements, effectively removing all dynamic components. This approach enables high-fidelity rendering even in complex, dynamic scenes. The illustration presents the final 3D Gaussian map, the camera tracking trajectory (in red), and view synthesis comparisons with baseline methods.

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