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PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023303Z
LOCATION:Lobby Gallery (1) & (2)\, G Block\, Level B1
DTSTART;TZID=Asia/Tokyo:20241203T090000
DTEND;TZID=Asia/Tokyo:20241203T180000
UID:siggraphasia_SIGGRAPH Asia 2024_sess195_pos_342@linklings.com
SUMMARY:Strainer GAN: Filtering out Impurity Samples in GAN Training
DESCRIPTION:Poster\n\nJiho Shin and Seungkyu Lee (Kyunghee University)\n\n
 Strainer GAN: A method refining impure datasets to enhance GAN training. U
 ses automatic filtering to improve image quality and stability across vari
 ous architectures. Effective for real-world applications with impure data.
 \n\nRegistration Category: Enhanced Access, Exhibit & Experience Access, E
 xperience Hall Exhibitor, Full Access, Full Access Supporter, Trade Exhibi
 tor
URL:https://asia.siggraph.org/2024/program/?id=pos_342&sess=sess195
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