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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035307Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_523@linklings.com
SUMMARY:StyleBin: Stylizing Video by Example in Stereo
DESCRIPTION:Technical Papers\n\nStyleBin: Stylizing Video by Example in St
 ereo\n\nKučera, Mould, Sıkora\n\nIn this paper we present StyleBin---an ap
 proach to example-based stylization of videos that can produce consistent 
 binocular depiction of stylized content on stereoscopic displays. Given th
 e target sequence and a set of stylized keyframes accompanied by informati
 on about depth in the scene, we formulate an optimization problem that con
 verts the target video into a pair of stylized sequences, in which each fr
 ame consists of a set of seamlessly stitched patches taken from the origin
 al stylized keyframe. The aim of the optimization process is to align the 
 individual patches so that they respect the semantics of the given target 
 scene, while at the same time also following the prescribed local disparit
 y in the corresponding viewpoints and being consistent in time. In contras
 t to previous depth-aware style transfer techniques, our approach is the f
 irst that can deliver semantically meaningful stylization and preserve ess
 ential visual characteristics of the given artistic media. We demonstrate 
 the practical utility of the proposed method in various stylization use ca
 ses.\n\nRegistration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS, EXPERI
 ENCE ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_523&sess=sess15
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