Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty...
Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty Propagation
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Implicit Neural representations (INRs) are widely used for scientific data reduction and visualization by modeling the function that maps a spatial location to a data value. Without any prior knowledge about the spatial distribution of values, we are forced to sample densely from INRs to perform visualization tasks like iso-surface extraction which...
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Full title
Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty Propagation
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TN_cdi_proquest_journals_2930080172
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2930080172
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2402.13861
