{
  "title": "DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation",
  "kind": "papers",
  "body_text": "# DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation\n\n## Outgoing relations\n\n- **belongs_to_approach_family** → Gaussian Splatting Reconstruction _(ApproachFamily)_\n- **implemented_in** → About dreamgaussian/dreamgaussian _(Repository)_\n- **introduces** → DreamGaussian _(Algorithm)_\n- **part_of** → 3D/4D Vision and Reconstruction _(ResearchField)_\n- **uses** → Fine-tuning _(TrainingParadigm)_\n- **uses** → Gaussian Splatting _(MethodologicalConcept)_\n- **uses_metric** → LPIPS _(Metric)_\n- **uses_metric** → PSNR _(Metric)_\n- **uses_metric** → SSIM _(Metric)_\n\n## Incoming relations\n\n- **mentioned_in** → About dreamgaussian/dreamgaussian _(Repository)_\n\n## Connected node types\n\n- Metric: 3\n- Repository: 2\n- Algorithm: 1\n- ApproachFamily: 1\n- MethodologicalConcept: 1\n- ResearchField: 1\n- TrainingParadigm: 1",
  "source_path": "/home/runner/work/Tesserae/Tesserae/examples/demo-corpus/data/research/papers/arxiv-2309-16653/abstract.md",
  "links": [],
  "body": "# DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation\n\n## Outgoing relations\n\n- **belongs_to_approach_family** → Gaussian Splatting Reconstruction _(ApproachFamily)_\n- **implemented_in** → About dreamgaussian/dreamgaussian _(Repository)_\n- **introduces** → DreamGaussian _(Algorithm)_\n- **part_of** → 3D/4D Vision and Reconstruction _(ResearchField)_\n- **uses** → Fine-tuning _(TrainingParadigm)_\n- **uses** → Gaussian Splatting _(MethodologicalConcept)_\n- **uses_metric** → LPIPS _(Metric)_\n- **uses_metric** → PSNR _(Metric)_\n- **uses_metric** → SSIM _(Metric)_\n\n## Incoming relations\n\n- **mentioned_in** → About dreamgaussian/dreamgaussian _(Repository)_\n\n## Connected node types\n\n- Metric: 3\n- Repository: 2\n- Algorithm: 1\n- ApproachFamily: 1\n- MethodologicalConcept: 1\n- ResearchField: 1\n- TrainingParadigm: 1",
  "frontmatter": {
    "aliases": [
      "arXiv:2309.16653"
    ],
    "kind": "papers",
    "node_id": "Paper:arxiv-2309-16653:0d8a57e0dc05",
    "node_type": "Paper",
    "source_path": "/home/runner/work/Tesserae/Tesserae/examples/demo-corpus/data/research/papers/arxiv-2309-16653/abstract.md",
    "title": "DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation"
  }
}