Paper · ≈ 1 min read
NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
Outgoing relations
- addresses → Visual SLAM (ResearchTopic)
- evaluated_on → Replica (Benchmark)
- evaluated_on → ScanNet (Benchmark)
- introduces → NICE-SLAM (Algorithm)
- part_of → 3D/4D Vision and Reconstruction (ResearchField)
- uses_metric → Accuracy (Metric)
- uses_metric → LPIPS (Metric)
- uses_metric → PSNR (Metric)
- uses_metric → SSIM (Metric)
Connected node types
- Metric: 4
- Benchmark: 2
- Algorithm: 1
- ResearchField: 1
- ResearchTopic: 1
Mentions in the corpus
- part_of Evidence: Oswald" - "Marc Pollefeys" date: 2021-12-22 sub_topic: Visual SLAM and…
- mentioned_in Claim: Oswald" - "Marc Pollefeys" date: 2021-12-22 sub_topic: Visual SLAM and MVS license: CC0 (arXiv…
- part_of Evidence: In this paper, we present NICE-SLAM, a dense SLAM system that incorpora…
- part_of Evidence: Compared to recent neural implicit SLAM systems, our approach is more s…
- mentioned_in Claim: Oswald" - "Marc Pollefeys" date: 2021-12-22 sub_topic: Visual SLAM and MVS license: "CC-BY-4.0…
- part_of Evidence: On five challenging datasets including Replica, ScanNet, and TUM-RGBD t…
- summarizes Project Pulse
- synthesizes Topic — Visual SLAM
- summarizes Topic — Visual SLAM
- summarizes Field Overview — 3D/4D Vision and Reconstruction
Cross-references in raw data
Source provenance
examples/demo-corpus/data/research/papers/arxiv-2112-12130/abstract.md