Paper · ≈ 1 min read
AGG: Amortized Generative 3D Gaussians for Single Image to 3D
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: "2401.04099" arxiv_url: https://arxiv.org/abs/24…
- mentioned_in Claim: --- type: Paper arxiv: "2401.04099" arxiv_url: https://arxiv.org/abs/2401.04099 title: "AGG: Am…
- part_of Evidence: To overcome these challenges, we introduce an Amortized Generative 3D G…
- part_of Evidence: Moreover, we propose a cascaded pipeline that first generates a coarse…
- part_of Evidence: This decomposition stabilises optimisation, since locating primitives n…
- 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-2401-04099/abstract.md