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BEGIN:VEVENT
DTSTAMP:20250522T212945Z
LOCATION:Mile High 1
DTSTART;TZID=America/Denver:20240801T144000
DTEND;TZID=America/Denver:20240801T145000
UID:siggraph_SIGGRAPH 2024_sess144_papers_169@linklings.com
SUMMARY:Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-bas
 ed View Synthesis
DESCRIPTION:Christian Reiser (Tübingen AI Center, University of Tübingen; 
 Google Research); Stephan Garbin, Pratul Srinivasan, Dor Verbin, Richard S
 zeliski, Ben Mildenhall, Jonathan Barron, and Peter Hedman (Google Researc
 h); and Andreas Geiger (Tübingen AI Center, University of Tübingen)\n\nWe 
 reconstruct meshes from multi-view images that contain fine geometric deta
 il yet are suitable for high-quality view synthesis on low-powered devices
 . To this end, we model the scene as a high-resolution binary opacity grid
  and shoot multiple rays per pixel to be able to reason about subpixel str
 uctures.\n\nInterest Area: Research & Education\n\nRecording: Livestreamed
 , Recorded\n\nRegistration Category: Full Conference, Full Conference Supp
 orter, Virtual Access, Exhibitor Full Conference, Thursday\n\nSession Chai
 r: Nathan Carr (Adobe)\n\n
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