{
  "title": "Implicit Geometric Regularization for Learning Shapes",
  "kind": "papers",
  "body_text": "# Implicit Geometric Regularization for Learning Shapes\n\n## Outgoing relations\n\n- **part_of** → 3D/4D Vision and Reconstruction _(ResearchField)_\n- **part_of** → Research Literature _(ResearchField)_\n- **uses** → Point Cloud _(TechnicalTerm)_\n- **uses_metric** → LPIPS _(Metric)_\n- **uses_metric** → PSNR _(Metric)_\n- **uses_metric** → SSIM _(Metric)_\n\n## Connected node types\n\n- Metric: 3\n- ResearchField: 2\n- TechnicalTerm: 1",
  "source_path": "/home/runner/work/Tesserae/Tesserae/examples/demo-corpus/data/research/papers/arxiv-2002-10099/abstract.md",
  "links": [],
  "body": "# Implicit Geometric Regularization for Learning Shapes\n\n## Outgoing relations\n\n- **part_of** → 3D/4D Vision and Reconstruction _(ResearchField)_\n- **part_of** → Research Literature _(ResearchField)_\n- **uses** → Point Cloud _(TechnicalTerm)_\n- **uses_metric** → LPIPS _(Metric)_\n- **uses_metric** → PSNR _(Metric)_\n- **uses_metric** → SSIM _(Metric)_\n\n## Connected node types\n\n- Metric: 3\n- ResearchField: 2\n- TechnicalTerm: 1",
  "frontmatter": {
    "aliases": [
      "arXiv:2002.10099"
    ],
    "kind": "papers",
    "node_id": "Paper:arxiv-2002-10099:8bc0aca47d06",
    "node_type": "Paper",
    "source_path": "/home/runner/work/Tesserae/Tesserae/examples/demo-corpus/data/research/papers/arxiv-2002-10099/abstract.md",
    "title": "Implicit Geometric Regularization for Learning Shapes"
  }
}