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Found 4 papers, 0 papers with code
Gaussian Splatting SLAM
We present the first application of 3D Gaussian Splatting in monocular SLAM, the most fundamental but the hardest setup for Visual SLAM.
NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM
However, in real-time and on-the-fly scene capture applications, this prior knowledge cannot be assumed as fixed or static, since it dynamically changes and it is subject to significant updates based on run-time observations.
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations
In this paper we propose a dense mapping framework to complement sparse visual SLAM systems which takes as input the camera poses, keyframes and sparse points produced by the SLAM system and predicts a dense depth image for every keyframe.
Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras
We propose a novel real-time direct monocular visual odometry for omnidirectional cameras.
