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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_488@linklings.com
SUMMARY:VIINTER: View Interpolation With Implicit Neural Representations o
 f Images
DESCRIPTION:Technical Papers\n\nVIINTER: View Interpolation With Implicit 
 Neural Representations of Images\n\nFeng, Jabbireddy, Varshney\n\nWe prese
 nt VIINTER, a method for view interpolation by interpolating the implicit 
 neural representation (INR) of the captured images. We leverage the learne
 d code vector associated with each image and interpolate between these cod
 es to achieve viewpoint transitions. We propose several techniques that si
 gnificantly enhance the interpolation quality. VIINTER signifies a new way
  to achieve view interpolation without constructing 3D structure, estimati
 ng camera poses, or computing pixel correspondence. We validate the effect
 iveness of VIINTER on several multi-view scenes with different types of ca
 mera layout and scene composition. As the development of INR of images (as
  opposed to surface or volume) has centered around tasks like image fittin
 g and super-resolution, with VIINTER, we show its capability for view inte
 rpolation and offer a promising outlook on using INR for image manipulatio
 n tasks.\n\nRegistration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS, EX
 PERIENCE ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_488&sess=sess15
 3
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