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DTSTAMP:20260805T205606Z
LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260722T094000
DTEND;TZID=America/Los_Angeles:20260722T095000
UID:siggraph_SIGGRAPH 2026_sess119_papers_791@linklings.com
SUMMARY:Efficient Fur and Hair Multiple Scattering Using Volumetric Approx
 imation
DESCRIPTION:Ruike Hu (Nanjing University), Junqiu Zhu (Shandong University
 ), Minghao Lin (Shandong Universityong), Ruian Zhang (Nanjing University),
  Lu Wang (Shandong University), Jie Guo and Yanwen Guo (Nanjing University
 ), and Lingqi Yan (MBZUAI)\n\nWe introduce a hybrid framework for renderin
 g dense hair and fur. By preserving fine geometric details for direct illu
 mination while approximating complex multiple scattering within an equival
 ent anisotropic volume, our method achieves path-traced visual fidelity an
 d soft glow of multiple scattering at a drastically reduced computational 
 cost.\n\nInterest Area: Research & Education\n\nKeyword: Artificial Intell
 igence/Machine Learning, Geometry, Modeling, Rendering\n\nRegistration Cat
 egory: Full Conference Supporter, Full Conference\n\nSession Chair: Etienn
 e Vouga (University of Texas Austin)\n\n
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