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BEGIN:VEVENT
DTSTAMP:20250522T212947Z
LOCATION:Mile High 4
DTSTART;TZID=America/Denver:20240729T144000
DTEND;TZID=America/Denver:20240729T145000
UID:siggraph_SIGGRAPH 2024_sess106_paperstog_126@linklings.com
SUMMARY:View-Independent Adjoint Light Tracing for Lighting Design Optimiz
 ation
DESCRIPTION:Lukas Lipp, David Hahn, and Pierre Ecormier-Nocca (Technical U
 niversity of Vienna); Florian Rist (King Abdullah University of Science an
 d Technology (KAUST), Technical University of Vienna); Michael Wimmer (Tec
 hnical University of Vienna); and Lukas Lipp\n\nWe introduce a method that
  enables continuous optimization of the configuration of luminaires in a 3
 d scene via differentiable adjoint light tracing. Users paint illumination
  targets directly onto the 3d scene, which enables interactive gradient-ba
 sed optimization in a camera-free way.\n\nInterest Area: Research & Educat
 ion\n\nRecording: Livestreamed, Recorded\n\nKeyword: Machine Learning, Ren
 dering\n\nRegistration Category: Full Conference, Full Conference Supporte
 r, Virtual Access, Exhibitor Full Conference, Monday\n\nSession Chair: Ioa
 nnis Gkioulekas (Carnegie Mellon University)\n\n
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