{
  "title": "Topic — Visual SLAM",
  "kind": "syntheses",
  "body_text": "# Topic — Visual SLAM\n\nType: ResearchTopic.\n\n## Contributing papers\n- [3D Gaussian Splatting for Real-Time Radiance Field Rendering (arXiv:2308.04079)](../papers/3d-gaussian-splatting-for-real-time-radiance-field-rendering.md)\n- [BARF: Bundle-Adjusting Neural Radiance Fields (arXiv:2104.06405)](../papers/barf-bundle-adjusting-neural-radiance-fields.md)\n- [Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM (arXiv:2304.14377)](../papers/co-slam-joint-coordinate-and-sparse-parametric-encodings-for-neural-real-time-slam.md)\n- [DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras (arXiv:2108.10869)](../papers/droid-slam-deep-visual-slam-for-monocular-stereo-and-rgb-d-cameras.md)\n- [DeepV2D: Video to Depth with Differentiable Structure from Motion (arXiv:1812.04605)](../papers/deepv2d-video-to-depth-with-differentiable-structure-from-motion.md)\n- [Direct Sparse Odometry (arXiv:1607.02565)](../papers/direct-sparse-odometry.md)\n- [GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting (arXiv:2311.11700)](../papers/gs-slam-dense-visual-slam-with-3d-gaussian-splatting.md)\n- [Gaussian Splatting SLAM (arXiv:2312.06741)](../papers/gaussian-splatting-slam.md)\n- [Mathematical Supplement for the $\\\\\\\\texttt{gsplat}$ Library (arXiv:2312.02121)](../papers/mathematical-supplement-for-the-texttt-gsplat-library.md)\n- [NICE-SLAM: Neural Implicit Scalable Encoding for SLAM (arXiv:2112.12130)](../papers/nice-slam-neural-implicit-scalable-encoding-for-slam.md)\n- [Point-SLAM: Dense Neural Point Cloud-based SLAM (arXiv:2304.04278)](../papers/point-slam-dense-neural-point-cloud-based-slam.md)\n\n## Related concepts\n- Co-SLAM (Algorithm)\n- DROID-SLAM (Algorithm)\n- DeepV2D (Algorithm)\n- NICE-SLAM (Algorithm)\n- Gaussian Splatting (MethodologicalConcept)\n- Volumetric Rendering (MethodologicalConcept)\n- Novel View Synthesis (Task)\n- Point Cloud (TechnicalTerm)\n\n## Related repos\n- (none)",
  "source_path": "",
  "links": [
    "../papers/3d-gaussian-splatting-for-real-time-radiance-field-rendering.md",
    "../papers/barf-bundle-adjusting-neural-radiance-fields.md",
    "../papers/co-slam-joint-coordinate-and-sparse-parametric-encodings-for-neural-real-time-slam.md",
    "../papers/droid-slam-deep-visual-slam-for-monocular-stereo-and-rgb-d-cameras.md",
    "../papers/deepv2d-video-to-depth-with-differentiable-structure-from-motion.md",
    "../papers/direct-sparse-odometry.md",
    "../papers/gs-slam-dense-visual-slam-with-3d-gaussian-splatting.md",
    "../papers/gaussian-splatting-slam.md",
    "../papers/mathematical-supplement-for-the-texttt-gsplat-library.md",
    "../papers/nice-slam-neural-implicit-scalable-encoding-for-slam.md",
    "../papers/point-slam-dense-neural-point-cloud-based-slam.md"
  ],
  "body": "# Topic — Visual SLAM\n\nType: ResearchTopic.\n\n## Contributing papers\n- [3D Gaussian Splatting for Real-Time Radiance Field Rendering (arXiv:2308.04079)](../papers/3d-gaussian-splatting-for-real-time-radiance-field-rendering.md)\n- [BARF: Bundle-Adjusting Neural Radiance Fields (arXiv:2104.06405)](../papers/barf-bundle-adjusting-neural-radiance-fields.md)\n- [Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM (arXiv:2304.14377)](../papers/co-slam-joint-coordinate-and-sparse-parametric-encodings-for-neural-real-time-slam.md)\n- [DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras (arXiv:2108.10869)](../papers/droid-slam-deep-visual-slam-for-monocular-stereo-and-rgb-d-cameras.md)\n- [DeepV2D: Video to Depth with Differentiable Structure from Motion (arXiv:1812.04605)](../papers/deepv2d-video-to-depth-with-differentiable-structure-from-motion.md)\n- [Direct Sparse Odometry (arXiv:1607.02565)](../papers/direct-sparse-odometry.md)\n- [GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting (arXiv:2311.11700)](../papers/gs-slam-dense-visual-slam-with-3d-gaussian-splatting.md)\n- [Gaussian Splatting SLAM (arXiv:2312.06741)](../papers/gaussian-splatting-slam.md)\n- [Mathematical Supplement for the $\\\\\\\\texttt{gsplat}$ Library (arXiv:2312.02121)](../papers/mathematical-supplement-for-the-texttt-gsplat-library.md)\n- [NICE-SLAM: Neural Implicit Scalable Encoding for SLAM (arXiv:2112.12130)](../papers/nice-slam-neural-implicit-scalable-encoding-for-slam.md)\n- [Point-SLAM: Dense Neural Point Cloud-based SLAM (arXiv:2304.04278)](../papers/point-slam-dense-neural-point-cloud-based-slam.md)\n\n## Related concepts\n- Co-SLAM (Algorithm)\n- DROID-SLAM (Algorithm)\n- DeepV2D (Algorithm)\n- NICE-SLAM (Algorithm)\n- Gaussian Splatting (MethodologicalConcept)\n- Volumetric Rendering (MethodologicalConcept)\n- Novel View Synthesis (Task)\n- Point Cloud (TechnicalTerm)\n\n## Related repos\n- (none)",
  "frontmatter": {
    "content_hash": "sha256-29426573c1511938c33f7af5f4e01527240980ccdf93bc036bd9acbf0d443ac8",
    "generator": "heuristic-v1",
    "inputs": [
      "Algorithm:co-slam:e8ce06385db1",
      "Algorithm:deepv2d:7a62757c119d",
      "Algorithm:droid-slam:bc00b04bfdf8",
      "Algorithm:nice-slam:c358f6d672f2",
      "MethodologicalConcept:gaussian-splatting:4f4b246c6522",
      "MethodologicalConcept:volumetric-rendering:7527b301d064",
      "Paper:arxiv-1607-02565:46254f6739a9",
      "Paper:arxiv-1812-04605:866f598a6694",
      "Paper:arxiv-2104-06405:2cd872dad036",
      "Paper:arxiv-2108-10869:76d353726650",
      "Paper:arxiv-2112-12130:3f02e690b6ae",
      "Paper:arxiv-2304-04278:718073a97b27",
      "Paper:arxiv-2304-14377:d92d5288eaaa",
      "Paper:arxiv-2308-04079:3132b6a15963",
      "Paper:arxiv-2311-11700:c0097b0a8f8f",
      "Paper:arxiv-2312-02121:5e6429e6abc2",
      "Paper:arxiv-2312-06741:5e75008a3b16",
      "ResearchTopic:visual-slam:5e1e69bfac67",
      "Task:novel-view-synthesis:19d55dfb9b83",
      "TechnicalTerm:point-cloud:5e627858ec5a"
    ],
    "slug": "topic-visual-slam",
    "sources": [
      "examples/demo-corpus/data/research/papers/arxiv-1607-02565/abstract.md",
      "examples/demo-corpus/data/research/papers/arxiv-1812-04605/abstract.md",
      "examples/demo-corpus/data/research/papers/arxiv-2104-06405/abstract.md",
      "examples/demo-corpus/data/research/papers/arxiv-2108-10869/abstract.md",
      "examples/demo-corpus/data/research/papers/arxiv-2112-12130/abstract.md",
      "examples/demo-corpus/data/research/papers/arxiv-2304-04278/abstract.md",
      "examples/demo-corpus/data/research/papers/arxiv-2304-14377/abstract.md",
      "examples/demo-corpus/data/research/papers/arxiv-2308-04079/abstract.md",
      "examples/demo-corpus/data/research/papers/arxiv-2311-11700/abstract.md",
      "examples/demo-corpus/data/research/papers/arxiv-2312-02121/abstract.md",
      "examples/demo-corpus/data/research/papers/arxiv-2312-06741/abstract.md"
    ],
    "synthesis_kind": "topic",
    "title": "Topic — Visual SLAM"
  }
}