AI RESEARCH
Flow4DGS-SLAM: Optical Flow-Guided 4D Gaussian Splatting SLAM
arXiv CS.CV
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ArXi:2604.22339v1 Announce Type: new Handling the dynamic environments is a significant research challenge in Visual Simultaneous Localization and Mapping (SLAM). Recent research combines 3D Gaussian Splatting (3DGS) with SLAM to achieve both robust camera pose estimation and photorealistic renderings. However, using SLAM to efficiently reconstruct both static and dynamic regions remains challenging. In this work, we propose an efficient framework for dynamic 3DGS SLAM guided by optical flow.