{
  "title": "Gaussian Splatting",
  "kind": "concepts",
  "body_text": "# Gaussian Splatting\n\n## Incoming relations\n\n- **uses** → 2D Gaussian Splatting for Geometrically Accurate Radiance Fields _(Paper)_\n- **uses** → 3D Gaussian Splatting for Real-Time Radiance Field Rendering _(Paper)_\n- **uses** → 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering _(Paper)_\n- **uses** → 4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes _(Paper)_\n- **uses** → AGG: Amortized Generative 3D Gaussians for Single Image to 3D _(Paper)_\n- **uses** → Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM _(Paper)_\n- **uses** → DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation _(Paper)_\n- **uses** → Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields _(Paper)_\n- **uses** → GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting _(Paper)_\n- **uses** → GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting _(Paper)_\n- **uses** → Gaussian Splatting Reconstruction _(ApproachFamily)_\n- **uses** → Gaussian Splatting SLAM _(Paper)_\n- **uses** → LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes _(Paper)_\n- **uses** → MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images _(Paper)_\n- **uses** → Mathematical Supplement for the $\\\\texttt{gsplat}$ Library _(Paper)_\n- **uses** → Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields _(Paper)_\n- **uses** → Point-SLAM: Dense Neural Point Cloud-based SLAM _(Paper)_\n- **uses** → Revising Densification in Gaussian Splatting _(Paper)_\n- **uses** → Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering _(Paper)_\n- **uses** → SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering _(Paper)_\n- **uses** → latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction _(Paper)_\n\n## Connected node types\n\n- Paper: 20\n- ApproachFamily: 1",
  "source_path": "/home/runner/work/Tesserae/Tesserae/examples/demo-corpus/data/research/papers/arxiv-2111-12077/paper.md",
  "links": [],
  "body": "# Gaussian Splatting\n\n## Incoming relations\n\n- **uses** → 2D Gaussian Splatting for Geometrically Accurate Radiance Fields _(Paper)_\n- **uses** → 3D Gaussian Splatting for Real-Time Radiance Field Rendering _(Paper)_\n- **uses** → 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering _(Paper)_\n- **uses** → 4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes _(Paper)_\n- **uses** → AGG: Amortized Generative 3D Gaussians for Single Image to 3D _(Paper)_\n- **uses** → Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM _(Paper)_\n- **uses** → DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation _(Paper)_\n- **uses** → Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields _(Paper)_\n- **uses** → GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting _(Paper)_\n- **uses** → GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting _(Paper)_\n- **uses** → Gaussian Splatting Reconstruction _(ApproachFamily)_\n- **uses** → Gaussian Splatting SLAM _(Paper)_\n- **uses** → LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes _(Paper)_\n- **uses** → MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images _(Paper)_\n- **uses** → Mathematical Supplement for the $\\\\texttt{gsplat}$ Library _(Paper)_\n- **uses** → Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields _(Paper)_\n- **uses** → Point-SLAM: Dense Neural Point Cloud-based SLAM _(Paper)_\n- **uses** → Revising Densification in Gaussian Splatting _(Paper)_\n- **uses** → Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering _(Paper)_\n- **uses** → SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering _(Paper)_\n- **uses** → latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction _(Paper)_\n\n## Connected node types\n\n- Paper: 20\n- ApproachFamily: 1",
  "frontmatter": {
    "aliases": [
      "3D Gaussian Splatting",
      "3DGS",
      "Gaussian splatting"
    ],
    "kind": "concepts",
    "node_id": "MethodologicalConcept:gaussian-splatting:4f4b246c6522",
    "node_type": "MethodologicalConcept",
    "source_path": "/home/runner/work/Tesserae/Tesserae/examples/demo-corpus/data/research/papers/arxiv-2111-12077/paper.md",
    "title": "Gaussian Splatting"
  }
}