Paper · ≈ 1 min read
Implicit Geometric Regularization for Learning Shapes
Outgoing relations
- part_of → 3D/4D Vision and Reconstruction (ResearchField)
- part_of → Research Literature (ResearchField)
- uses → Point Cloud (TechnicalTerm)
- uses_metric → LPIPS (Metric)
- uses_metric → PSNR (Metric)
- uses_metric → SSIM (Metric)
Connected node types
- Metric: 3
- ResearchField: 2
- TechnicalTerm: 1
Mentions in the corpus
- part_of Evidence: In this paper we offer a new paradigm for computing high fidelity impli…
- mentioned_in Claim: In this paper we offer a new paradigm for computing high fidelity implicit neural representatio…
- part_of Evidence: We provide a theoretical analysis of this property for the linear case,…
- part_of Evidence: propose Implicit Geometric Regularization (IGR), a training objective f…
- mentioned_in Claim: propose Implicit Geometric Regularization (IGR), a training objective for fitting neural signed…
- 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-2002-10099/abstract.md