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VERSION:2.0
PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20260817T171530Z
LOCATION:G510\, G Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241205T130000
DTEND;TZID=Asia/Tokyo:20241205T131200
UID:siggraphasia_SIGGRAPH Asia 2024_sess288_tcom_158@linklings.com
SUMMARY:StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting
DESCRIPTION:Kunhao Liu (Nanyang Technological University (NTU)); Fangneng 
 Zhan (Max Planck Institute for Informatics); Muyu Xu (Nanyang Technologica
 l University (NTU)); Christian Theobalt (Max Planck Institute for Informat
 ics); Ling Shao (UCAS-Terminus AI Lab, UCAS); and Shijian Lu (Nanyang Tech
 nological University (NTU))\n\nStyleGaussian is a novel 3D style transfer 
 pipeline that enables instant style transfer while preserving real-time re
 ndering and strict multi-view consistency.\n\nRegistration Category: Full 
 Access, Full Access Supporter\n\nLanguage Format: English Language\n\nSess
 ion Chair: Krishna Mullia (Canva Research)\n\n
URL:https://asia.siggraph.org/2024/program/?id=tcom_158&sess=sess288
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