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DTSTAMP:20250522T212942Z
LOCATION:Mile High 2A
DTSTART;TZID=America/Denver:20240801T093000
DTEND;TZID=America/Denver:20240801T094000
UID:siggraph_SIGGRAPH 2024_sess134_papers_732@linklings.com
SUMMARY:N-BVH: Neural Ray Queries With Bounding Volume Hierarchies
DESCRIPTION:Philippe Weier (Saarland Informatics Campus, DFKI); Alexander 
 Rath (DFKI, Saarland Informatics Campus); Élie Michel and Iliyan Georgiev 
 (Adobe); Philipp Slusallek (DFKI); and Tamy Boubekeur (Adobe)\n\nN-BVH, a 
 compressed neural architecture, enables efficient ray queries in rendering
 . Our method seamlessly integrates neural ray queries into standard pipeli
 nes. By optimizing parameters through an adaptive BVH-driven probing schem
 e, N-BVH can serve accurate ray queries from a compact representation whil
 e providing faithful approximations of visibility, depth, and appearance a
 ttributes.\n\nInterest Area: Research & Education\n\nRecording: Livestream
 ed, Recorded\n\nKeyword: Geometry, Modeling\n\nRegistration Category: Full
  Conference, Full Conference Supporter, Virtual Access, Exhibitor Full Con
 ference, Thursday\n\nSession Chair: Tizian Zeltner (NVIDIA)\n\n
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