{
  "title": "3D/4D Vision and Reconstruction",
  "kind": "topics",
  "body_text": "# 3D/4D Vision and Reconstruction\n\n## Incoming relations\n\n- **part_of** → 2D Gaussian Splatting for Geometrically Accurate Radiance Fields _(Paper)_\n- **part_of** → 3D Gaussian Splatting for Real-Time Radiance Field Rendering _(Paper)_\n- **part_of** → 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering _(Paper)_\n- **part_of** → 4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes _(Paper)_\n- **part_of** → AGG: Amortized Generative 3D Gaussians for Single Image to 3D _(Paper)_\n- **part_of** → BARF: Bundle-Adjusting Neural Radiance Fields _(Paper)_\n- **part_of** → Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM _(Paper)_\n- **part_of** → DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras _(Paper)_\n- **part_of** → DeepV2D: Video to Depth with Differentiable Structure from Motion _(Paper)_\n- **part_of** → Direct Sparse Odometry _(Paper)_\n- **part_of** → DreamFusion: Text-to-3D using 2D Diffusion _(Paper)_\n- **part_of** → DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation _(Paper)_\n- **part_of** → Dynamic View Synthesis from Dynamic Monocular Video _(Paper)_\n- **part_of** → Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields _(Paper)_\n- **part_of** → GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting _(Paper)_\n- **part_of** → GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting _(Paper)_\n- **part_of** → Gaussian Splatting SLAM _(Paper)_\n- **part_of** → HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields _(Paper)_\n- **part_of** → Implicit Geometric Regularization for Learning Shapes _(Paper)_\n- **part_of** → Instant Neural Graphics Primitives with a Multiresolution Hash Encoding _(Paper)_\n- **part_of** → Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model _(Paper)_\n- **part_of** → K-Planes: Explicit Radiance Fields in Space, Time, and Appearance _(Paper)_\n- **part_of** → LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation _(Paper)_\n- **part_of** → LRM: Large Reconstruction Model for Single Image to 3D _(Paper)_\n- **part_of** → LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes _(Paper)_\n\n## Connected node types\n\n- Paper: 50",
  "source_path": "",
  "links": [],
  "body": "# 3D/4D Vision and Reconstruction\n\n## Incoming relations\n\n- **part_of** → 2D Gaussian Splatting for Geometrically Accurate Radiance Fields _(Paper)_\n- **part_of** → 3D Gaussian Splatting for Real-Time Radiance Field Rendering _(Paper)_\n- **part_of** → 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering _(Paper)_\n- **part_of** → 4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes _(Paper)_\n- **part_of** → AGG: Amortized Generative 3D Gaussians for Single Image to 3D _(Paper)_\n- **part_of** → BARF: Bundle-Adjusting Neural Radiance Fields _(Paper)_\n- **part_of** → Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM _(Paper)_\n- **part_of** → DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras _(Paper)_\n- **part_of** → DeepV2D: Video to Depth with Differentiable Structure from Motion _(Paper)_\n- **part_of** → Direct Sparse Odometry _(Paper)_\n- **part_of** → DreamFusion: Text-to-3D using 2D Diffusion _(Paper)_\n- **part_of** → DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation _(Paper)_\n- **part_of** → Dynamic View Synthesis from Dynamic Monocular Video _(Paper)_\n- **part_of** → Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields _(Paper)_\n- **part_of** → GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting _(Paper)_\n- **part_of** → GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting _(Paper)_\n- **part_of** → Gaussian Splatting SLAM _(Paper)_\n- **part_of** → HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields _(Paper)_\n- **part_of** → Implicit Geometric Regularization for Learning Shapes _(Paper)_\n- **part_of** → Instant Neural Graphics Primitives with a Multiresolution Hash Encoding _(Paper)_\n- **part_of** → Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model _(Paper)_\n- **part_of** → K-Planes: Explicit Radiance Fields in Space, Time, and Appearance _(Paper)_\n- **part_of** → LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation _(Paper)_\n- **part_of** → LRM: Large Reconstruction Model for Single Image to 3D _(Paper)_\n- **part_of** → LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes _(Paper)_\n\n## Connected node types\n\n- Paper: 50",
  "frontmatter": {
    "kind": "topics",
    "node_id": "ResearchField:3d-4d-vision-and-reconstruction:4273d84d58f1",
    "node_type": "ResearchField",
    "source_path": "",
    "title": "3D/4D Vision and Reconstruction"
  }
}