Paper · ≈ 1 min read
DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
Outgoing relations
- belongs_to_approach_family → Gaussian Splatting Reconstruction (ApproachFamily)
- implemented_in → About dreamgaussian/dreamgaussian (Repository)
- introduces → DreamGaussian (Algorithm)
- part_of → 3D/4D Vision and Reconstruction (ResearchField)
- uses → Fine-tuning (TrainingParadigm)
- uses → Gaussian Splatting (MethodologicalConcept)
- uses_metric → LPIPS (Metric)
- uses_metric → PSNR (Metric)
- uses_metric → SSIM (Metric)
Incoming relations
- mentioned_in → About dreamgaussian/dreamgaussian (Repository)
Connected node types
- Metric: 3
- Repository: 2
- Algorithm: 1
- ApproachFamily: 1
- MethodologicalConcept: 1
- ResearchField: 1
- TrainingParadigm: 1
Mentions in the corpus
- part_of Evidence: --- type: Paper arxiv: "2309.16653" arxiv_url: https://arxiv.org/abs/23…
- mentioned_in Claim: --- type: Paper arxiv: "2309.16653" arxiv_url: https://arxiv.org/abs/2309.16653 title: "DreamGa…
- part_of Evidence: In this paper, we propose DreamGaussian, a novel 3D content generation…
- part_of Evidence: To further enhance the texture quality and facilitate downstream applic…
- part_of Evidence: Notably, DreamGaussian produces high-quality textured meshes in just 2…
- mentioned_in About dreamgaussian/dreamgaussian
- summarizes Project Pulse
- synthesizes Topic — Gaussian Splatting Reconstruction
- summarizes Topic — Gaussian Splatting Reconstruction
- synthesizes Comparison — Dynamic Gaussian Splatting vs Gaussian Splatting Reconstruction
- summarizes Comparison — Dynamic Gaussian Splatting vs Gaussian Splatting Reconstruction
- summarizes Field Overview — 3D/4D Vision and Reconstruction
Cross-references in raw data
Source provenance
examples/demo-corpus/data/research/papers/arxiv-2309-16653/abstract.md