Shypd.aiThe largest open index of AI toolsNeRF-SLAM is an open-source tool for real-time dense monocular SLAM with Neural Radiance Fields. It enables real-time 3D scene reconstruction and localization from monocular video streams.
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NeRF-SLAM is an open-source project that provides real-time dense monocular Simultaneous Localization and Mapping (SLAM) capabilities using Neural Radiance Fields (NeRF). This tool allows for the reconstruction of 3D scenes from monocular video input, offering a robust solution for mapping and localization in dynamic environments. It also implements Sigma-Fusion for probabilistic volumetric fusion. The project is built on top of Droid-SLAM and Instant-NGP, leveraging their functionalities for enhanced performance. It is designed for researchers and developers working in robotics and computer vision, providing a powerful framework for advanced SLAM applications.
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