{
  "title": "Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors",
  "kind": "papers",
  "body_text": "# Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors\n\n## Outgoing relations\n\n- **addresses** → Image-to-3D _(Task)_\n- **introduces** → Magic123 _(Algorithm)_\n- **part_of** → 3D/4D Vision and Reconstruction _(ResearchField)_\n- **uses** → Volumetric Rendering _(MethodologicalConcept)_\n- **uses_dataset** → ShapeNet _(Dataset)_\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- Algorithm: 1\n- Dataset: 1\n- MethodologicalConcept: 1\n- ResearchField: 1\n- Task: 1",
  "source_path": "/home/runner/work/Tesserae/Tesserae/examples/demo-corpus/data/research/papers/arxiv-2306-17843/abstract.md",
  "links": [],
  "body": "# Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors\n\n## Outgoing relations\n\n- **addresses** → Image-to-3D _(Task)_\n- **introduces** → Magic123 _(Algorithm)_\n- **part_of** → 3D/4D Vision and Reconstruction _(ResearchField)_\n- **uses** → Volumetric Rendering _(MethodologicalConcept)_\n- **uses_dataset** → ShapeNet _(Dataset)_\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- Algorithm: 1\n- Dataset: 1\n- MethodologicalConcept: 1\n- ResearchField: 1\n- Task: 1",
  "frontmatter": {
    "aliases": [
      "arXiv:2306.17843"
    ],
    "kind": "papers",
    "node_id": "Paper:arxiv-2306-17843:3a2ee53eb77a",
    "node_type": "Paper",
    "source_path": "/home/runner/work/Tesserae/Tesserae/examples/demo-corpus/data/research/papers/arxiv-2306-17843/abstract.md",
    "title": "Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors"
  }
}