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March 3, 2024Open Access

Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes

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Authors

YLYujie LuJiangsu UniversityLWLong WanDonghua UniversityNDNayu DingDonghua University

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Lu et al. (2024) studied this question.

synapsesocial.com/papers/68e75efdb6db6435876d606ehttps://doi.org/10.48550/arxiv.2403.01414
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape Functions2024 · 1 citations
  2. 2Probabilistic Directed Distance Fields for Ray-Based Shape Representations2024
  3. 3DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling2024 · 1 citations
  4. 4DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling2024
  5. 5Statistical Edge Detection And UDF Learning For Shape Representation2024