nice-slam and nicer-slam
NICE-SLAM and NICER-SLAM are ecosystem siblings, with NICER-SLAM representing a subsequent evolution of the neural implicit scene encoding approach for RGB SLAM, building upon the foundations laid by NICE-SLAM.
About nice-slam
cvg/nice-slam
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
This project helps robotics engineers and researchers create detailed 3D maps of indoor environments using video from a moving camera. It takes a sequence of color and depth images (RGB-D video) captured by a camera moving through a space and outputs an accurate, dense 3D mesh model of the scene and the camera's precise path. This is ideal for anyone developing autonomous robots or augmented reality applications that need to understand and navigate physical spaces.
About nicer-slam
cvg/nicer-slam
[3DV'24 Best Paper Honorable Mention] NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM
This project helps robotics engineers and researchers precisely map and track environments using standard video footage. It takes a sequence of RGB images and outputs accurate 3D geometry of the scene and the camera's movement path within it. This is valuable for developing autonomous navigation, augmented reality, and 3D reconstruction systems.
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