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Go-slam: Global optimization for consistent 3d instant reconstruction
Neural implicit representations have recently demonstrated compelling results on dense
Simultaneous Localization And Map** (SLAM) but suffer from the accumulation of errors …
Simultaneous Localization And Map** (SLAM) but suffer from the accumulation of errors …
Point-slam: Dense neural point cloud-based slam
We propose a dense neural simultaneous localization and map** (SLAM) approach for
monocular RGBD input which anchors the features of a neural scene representation in a …
monocular RGBD input which anchors the features of a neural scene representation in a …
Splatam: Splat track & map 3d gaussians for dense rgb-d slam
Dense simultaneous localization and map** (SLAM) is crucial for robotics and augmented
reality applications. However current methods are often hampered by the non-volumetric or …
reality applications. However current methods are often hampered by the non-volumetric or …
Nicer-slam: Neural implicit scene encoding for rgb slam
Neural implicit representations have recently become popular in simultaneous localization
and map** (SLAM), especially in dense visual SLAM. However, existing works either rely …
and map** (SLAM), especially in dense visual SLAM. However, existing works either rely …
Eslam: Efficient dense slam system based on hybrid representation of signed distance fields
We present ESLAM, an efficient implicit neural representation method for Simultaneous
Localization and Map** (SLAM). ESLAM reads RGB-D frames with unknown camera …
Localization and Map** (SLAM). ESLAM reads RGB-D frames with unknown camera …
Gaussian-slam: Photo-realistic dense slam with gaussian splatting
Loc-nerf: Monte carlo localization using neural radiance fields
We present Loc-NeRF, a real-time vision-based robot localization approach that combines
Monte Carlo localization and Neural Radiance Fields (NeRF). Our system uses a pre-trained …
Monte Carlo localization and Neural Radiance Fields (NeRF). Our system uses a pre-trained …