Paper · ≈ 1 min read
SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Outgoing relations
- belongs_to_approach_family → Gaussian Splatting Reconstruction (ApproachFamily)
- part_of → 3D/4D Vision and Reconstruction (ResearchField)
- uses → Gaussian Splatting (MethodologicalConcept)
- uses_metric → LPIPS (Metric)
- uses_metric → PSNR (Metric)
- uses_metric → SSIM (Metric)
Connected node types
- Metric: 3
- ApproachFamily: 1
- MethodologicalConcept: 1
- ResearchField: 1
Mentions in the corpus
- part_of Evidence: --- type: Paper arxiv: "2311.12775" arxiv_url: https://arxiv.org/abs/23…
- mentioned_in Claim: --- type: Paper arxiv: "2311.12775" arxiv_url: https://arxiv.org/abs/2311.12775 title: "SuGaR:…
- part_of Evidence: We propose a method to allow precise and extremely fast mesh extraction…
- part_of Evidence: Finally, we introduce an optional refinement strategy that binds gaussi…
- part_of Evidence: Retrieving such an editable mesh for realistic rendering is done within…
- part_of Evidence: Poisson reconstruction scales gracefully and preserves detail better th…
- 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-2311-12775/abstract.md