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VERSION:2.0
PRODID:Linklings LLC
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TZID:Asia/Hong_Kong
X-LIC-LOCATION:Asia/Hong_Kong
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030657Z
LOCATION:Meeting Room S421\, Level 4
DTSTART;TZID=Asia/Hong_Kong:20251215T154400
DTEND;TZID=Asia/Hong_Kong:20251215T155500
UID:siggraphasia_SIGGRAPH Asia 2025_sess108_tog_119@linklings.com
SUMMARY:A fast, efficient, and robust feature protected denoising method
DESCRIPTION:Mengyu Luo and Jian Wang (Nanjing University of Information Sc
 ience and Technology)\n\nThis paper proposes a fast, efficient, and robust
  feature protected 3D mesh denoising method based on a modified Lengyel-Ep
 stein (LE) model, primarily aiming to ensure volume stability and deliver 
 superior denoising results. Compared with the original model, we mainly in
 troduce a function expression to replace the fixed parameters. The modifie
 d model is then discretized using a seven-point difference scheme and solv
 ed by an explicit Euler method. \nNotably, our approach requires no traini
 ng samples or upfront training time, significantly enhancing overall compu
 tational efficiency.\n\nRegistration Category: Full Access, Full Access Su
 pporter\n\nSession Chair: Xiao-Ming Fu (University of Science and Technolo
 gy of China)\n\n
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