Paper · ≈ 1 min read
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Outgoing relations
- part_of → 3D/4D Vision and Reconstruction (ResearchField)
- part_of → Research Literature (ResearchField)
- uses_dataset → NeRF Synthetic (Dataset)
- uses_metric → Accuracy (Metric)
- uses_metric → LPIPS (Metric)
- uses_metric → PSNR (Metric)
- uses_metric → SSIM (Metric)
Connected node types
- Metric: 4
- ResearchField: 2
- Dataset: 1
Mentions in the corpus
- part_of Evidence: Compared to NeRF, mip-NeRF reduces average error rates by 17% on the da…
- part_of Evidence: By efficiently rendering anti-aliased conical frustums instead of rays,…
- summarizes Project Pulse
- summarizes Field Overview — 3D/4D Vision and Reconstruction
- summarizes Field Overview — Research Literature
Cross-references in raw data
Source provenance
examples/demo-corpus/data/research/papers/arxiv-2103-13415/abstract.md