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X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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DTSTART:18871231T000000
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DTSTAMP:20260817T171532Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241206T092300
DTEND;TZID=Asia/Tokyo:20241206T093400
UID:siggraphasia_SIGGRAPH Asia 2024_sess141_papers_734@linklings.com
SUMMARY:Trust-Region Eigenvalue Filtering for Projected Newton
DESCRIPTION:Honglin Chen (Columbia University); Hsueh-Ti Derek Liu (Roblox
 , University of British Columbia); Alec Jacobson (University of Toronto, A
 dobe Research); David I.W. Levin (University of Toronto, NVIDIA); and Chan
 gxi Zheng (Columbia University)\n\nWe introduce a novel adaptive eigenvalu
 e filtering strategy to stabilize and accelerate the optimization of Neo-H
 ookean energy and its variants under the Projected Newton framework. For t
 he first time, we show that Newton’s method, Projected Newton with eigenva
 lue clamping and Projected Newton with absolute eigenvalue filtering can b
 e unified using ideas from the\ngeneralized trust region method. Based on 
 the trust-region fit, our model adaptively chooses the correct eigenvalue 
 filtering strategy to apply during the optimization. Our method is simple 
 but effective, requiring only two lines of code change in the existing Pro
 jected Newton framework. We validate our model outperforms stand-alone var
 iants across a number of experiments\non quasistatic simulation of deforma
 ble solids over a large dataset.\n\nRegistration Category: Full Access, Fu
 ll Access Supporter\n\nLanguage Format: English Language\n\nSession Chair:
  Sheldon Andrews (École de Technologie Supérieure (ÉTS), McGill University
 )\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_734&sess=sess141
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