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    <identifier>10.57760/sciencedb.012hr</identifier>
    <datestamp>2026-09-14T09:39:33Z</datestamp>
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  <dc:date>2026-09-14</dc:date>
  <dc:title>Data and Supplementary Materials for &amp;quot;UAA-GS: Universal Anti-Aliased Gaussian Splatting for Edge-Preserving Rendering&amp;quot;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.012hr</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The UAA-GS data and image collection is a companion resource for the paper &amp;quot;UAA-GS: Universal Anti-Aliased Gaussian Splatting for Edge-Preserving Rendering,&amp;quot; aimed at research on universal anti-aliased Gaussian splatting and edge-preserving rendering. This collection gathers the scene data, rendered output images, and related visualization results involved in the paper's experiments, and is intended to support method reproduction, qualitative/quantitative comparisons, and result demonstrations. Through this data, researchers can observe UAA-GS's rendering performance in suppressing aliasing and preserving edge details at different resolutions, viewpoints, and scenes, and corroborate it with the experimental analysis in the paper. The specific file organization, formats, scale, and license information are subject to the actual release notes.</dc:description>
  <dc:subject>3D Gaussian Splatting; anti-aliasing; multi-scale rendering; edge-faithful rendering; novel view synthesis</dc:subject>
  <dc:creator>Sujie Kong</dc:creator>
  <dc:creator>Zhihao Liang</dc:creator>
  <dc:creator>Wenhao Zhang</dc:creator>
  <dc:creator>Qi Zhang</dc:creator>
  <dc:creator>Hao Zhu</dc:creator>
  <dc:creator>Zhan Ma</dc:creator>
  <dc:creator>Xun Cao</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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