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DTSTAMP:20250522T212946Z
LOCATION:Mile High 1
DTSTART;TZID=America/Denver:20240731T160500
DTEND;TZID=America/Denver:20240731T161500
UID:siggraph_SIGGRAPH 2024_sess102_papers_576@linklings.com
SUMMARY:Target-aware Image Denoising for Inverse Monte Carlo Rendering
DESCRIPTION:Jeongmin Gu and Jonghee Back (Gwangju Institute of Science and
  Technology), Sung-Eui Yoon (Korea Advanced Institute of Science and Techn
 ology (KAIST)), and Bochang Moon (Gwangju Institute of Science and Technol
 ogy)\n\nWe present a novel image denoiser to improve the convergence of in
 verse rendering optimization, which infers scene parameters by matching a 
 rendering image to a user-specified target image. We reformulate a regress
 ion-based denoiser using the target image to make the optimization with ou
 r denoising robust for various inverse rendering tasks.\n\nInterest Area: 
 Research & Education\n\nRecording: Livestreamed, Recorded\n\nKeyword: Rend
 ering\n\nRegistration Category: Full Conference, Full Conference Supporter
 , Virtual Access, Exhibitor Full Conference, Wednesday\n\nSession Chair: G
 urprit Singh (Max Planck Institute for Informatics)\n\n
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