{
  "title": "ShapeNet",
  "kind": "entities",
  "body_text": "# ShapeNet\n\n## Incoming relations\n\n- **uses_dataset** → LRM: Large Reconstruction Model for Single Image to 3D _(Paper)_\n- **uses_dataset** → Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors _(Paper)_\n\n## Connected node types\n\n- Paper: 2",
  "source_path": "/home/runner/work/Tesserae/Tesserae/examples/demo-corpus/data/research/papers/arxiv-2306-17843/paper.md",
  "links": [],
  "body": "# ShapeNet\n\n## Incoming relations\n\n- **uses_dataset** → LRM: Large Reconstruction Model for Single Image to 3D _(Paper)_\n- **uses_dataset** → Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors _(Paper)_\n\n## Connected node types\n\n- Paper: 2",
  "frontmatter": {
    "kind": "entities",
    "node_id": "Dataset:shapenet:2b99afaf2fa7",
    "node_type": "Dataset",
    "source_path": "/home/runner/work/Tesserae/Tesserae/examples/demo-corpus/data/research/papers/arxiv-2306-17843/paper.md",
    "title": "ShapeNet"
  }
}