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DTSTAMP:20250522T212740Z
LOCATION:Bluebird Ballroom
DTSTART;TZID=America/Denver:20240728T180000
DTEND;TZID=America/Denver:20240728T204500
UID:siggraph_SIGGRAPH 2024_sess211_papers_1160@linklings.com
SUMMARY:Matting by Generation
DESCRIPTION:Zhixiang Wang (University of Tokyo), Baiang Li (Hefei Universi
 ty of Technology), Jian Wang (Snap), Yu-Lun Liu (National Chiao Tung Unive
 rsity), Jinwei Gu (Chinese University of Hong Kong), Yung-Yu Chuang (Natio
 nal Taiwan University), and Shin'ichi Satoh (National Institute of Informa
 tics)\n\nThis paper redefines traditional regression-based matting as a ge
 nerative modeling challenge and harnesses the capabilities of latent diffu
 sion models enriched with extensive pre-trained knowledge to tackle this c
 hallenge. It not only produces mattes with superior resolution and detail 
 but is also versatile and can perform both guidance-free and guidance-base
 d matting.\n\nInterest Area: Arts & Design, Production & Animation, Resear
 ch & Education\n\nRecording: Livestreamed, Recorded\n\nRegistration Catego
 ry: Full Conference, Full Conference Supporter, Virtual Access, Experience
 , Exhibitor Full Conference, Exhibitor Experience, Sunday\n\n
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