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DTSTAMP:20260805T205608Z
LOCATION:Room 408 A
DTSTART;TZID=America/Los_Angeles:20260723T141000
DTEND;TZID=America/Los_Angeles:20260723T142000
UID:siggraph_SIGGRAPH 2026_sess136_papers_1521@linklings.com
SUMMARY:Object-Space Analysis of Local Contrast Sensitivity for Hierarchic
 al Representations of 3D Gaussians
DESCRIPTION:Naoto Yoshii and Suguru Saito (Institute of Science Tokyo) and
  Masataka Sawayama and Yoshinori Dobashi (Hokkaido University, Prometech C
 G Research)\n\nWe present an object-space contrast sensitivity analysis fo
 r 3D Gaussian representations that estimates spatial frequency responses w
 ithout explicit rasterization using analytical Fourier transforms and the 
 projection-slice theorem. This enables contrast-sensitivity-based perceptu
 al evaluation and efficient foveated rendering via hierarchical Gaussian l
 evel selection, preserving visual quality while reducing rendering cost.\n
 \nInterest Area: Research & Education\n\nKeyword: Artificial Intelligence/
 Machine Learning, Geometry, Modeling, Rendering\n\nRegistration Category: 
 Full Conference Supporter, Full Conference\n\nSession Chair: Rafał K. Mant
 iuk (University of Cambridge, Meta)\n\n
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