mlsanityData to 7 Oct 2026

SGAD-SLAM: Splatting Gaussians at Adjusted Depth for Better Radiance Fields in RGBD SLAM

arXiv 2603.21055 ↗First posted 22 Mar 2026cs.CVcited by 1

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Abstract (arXiv)

3D Gaussian Splatting (3DGS) has made remarkable progress in RGBD SLAM. Current methods usually use 3D Gaussians or view-tied 3D Gaussians to represent radiance fields in tracking and mapping. However, these Gaussians are either too flexible or too limited in movements, resulting in slow convergence or limited rendering quality. To resolve this issue, we adopt pixel-aligned Gaussians but allow each Gaussian to adjust its position along its ray to maximize the rendering quality, even if Gaussians are simplified to improve system scalability. To speed up the tracking, we model the depth distribution around each pixel as a Gaussian distribution, and then use these distributions to align each frame to the 3D scene quickly. We report our evaluations on widely used benchmarks, justify our designs, and show advantages over the latest methods in view rendering, camera tracking, runtime, and storage complexity. Please see our project page for code and videos at https://machineperceptionlab.github.io/SGAD-SLAM-Project .

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 82 of its 97 references that are in the map. First posted on arXiv 22 Mar 2026.

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82 of 97 references.

References · 82

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38 more
  1. 2021NICE-SLAM: Neural Implicit Scalable Encoding for SLAMcited by 586
  2. 2021iMAP: Implicit Mapping and Positioning in Real-Timecited by 476
  3. 2022MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstructioncited by 467
  4. 2023SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAMcited by 386
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  8. 2024GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generationcited by 298
  9. 2024PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstructioncited by 280
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  13. 2024MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priorscited by 198
  14. 2023Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAMcited by 183
  15. 2024MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motioncited by 161
  16. 2023Point-SLAM: Dense Neural Point Cloud-based SLAMcited by 160
  17. 2022ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fieldscited by 158
  18. 2021Vision-Only Robot Navigation in a Neural Radiance Worldcited by 153
  19. 2023Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splattingcited by 152
  20. 2022Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representationcited by 149
  21. 2023Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Camerascited by 139
  22. 20243D Gaussian Ray Tracing: Fast Tracing of Particle Scenescited by 138
  23. 2023GO-SLAM: Global Optimization for Consistent 3D Instant Reconstructioncited by 132
  24. 2025VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifoldcited by 130
  25. 2022NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priorscited by 125
  26. 2022Neural 3D Scene Reconstruction with the Manhattan-world Assumptioncited by 123
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  28. 2024SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videoscited by 100
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  31. 2024Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussianscited by 64
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  34. 2024LoopSplat: Loop Closure by Registering 3D Gaussian Splatscited by 59
  35. 2024Loopy-SLAM: Dense Neural SLAM with Loop Closurescited by 48
  36. 2024Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Setcited by 47
  37. 2024Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesiscited by 41
  38. 2024Human Hair Reconstruction with Strand-Aligned 3D Gaussianscited by 35

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