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DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 301-305
DTSTART;TZID=America/Los_Angeles:20250814T140000
DTEND;TZID=America/Los_Angeles:20250814T141000
UID:siggraph_SIGGRAPH 2025_sess123_papers_303@linklings.com
SUMMARY:Towards Comprehensive Neural Materials: Dynamic Structure-Preservi
 ng Synthesis with Accurate Silhouette at Instant Inference Speed
DESCRIPTION:Zilin Xu (University of California Santa Barbara); Xiang Chen 
 (Shandong University); Chen Liu (Zhejiang Lingdi Digital Technology Co.,Lt
 d); Beibei Wang (Nanjing University); Lu Wang (Shandong University); Zahra
  Montazeri (University of Manchester); and Ling-Qi Yan (University of Cali
 fornia Santa Barbara)\n\nWe challenge the comprehensive neural material re
 presentation by thoroughly considering the essential aspects of the comple
 te appearance. We introduce an int8-quantized model that keeps high fideli
 ty while achieving an order of magnitude speedup compared to previous meth
 ods, and a controllable structure-preserving synthesis strategy, along wit
 h accurate displacement effects.\n\nInterest Area: Research & Education\n\
 nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegi
 stration Category: Full Conference, Virtual Access, Thursday\n\nSession Ch
 air: Thomas Leimkühler (MPI Informatik)\n\n
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