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BEGIN:VEVENT
DTSTAMP:20250522T212740Z
LOCATION:Bluebird Ballroom
DTSTART;TZID=America/Denver:20240728T180000
DTEND;TZID=America/Denver:20240728T204500
UID:siggraph_SIGGRAPH 2024_sess211_papers_570@linklings.com
SUMMARY:Deep Fourier-based Arbitrary-scale Super-resolution for Real-time 
 Rendering
DESCRIPTION:Haonan Zhang, Jie Guo, Jiawei Zhang, Haoyu Qin, Zesen Feng, Mi
 ng Yang, and Yanwe Guo (Nanjing University)\n\nBy observing that high-reso
 lution G-buffers possess similar spectrum to high-resolution rendered fram
 e, we propose a method by supporting arbitrary-scale super-resolution for 
 a trained neural model. The key is a Fourier-based implicit neural represe
 ntation which maps arbitrary and naturally continuous coordinates to valid
  pixel values.\n\nInterest Area: Arts & Design, Production & Animation, Re
 search & Education\n\nRecording: Livestreamed, Recorded\n\nRegistration Ca
 tegory: Full Conference, Full Conference Supporter, Virtual Access, Experi
 ence, Exhibitor Full Conference, Exhibitor Experience, Sunday\n\n
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