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BEGIN:VEVENT
DTSTAMP:20250522T212741Z
LOCATION:Bluebird Ballroom
DTSTART;TZID=America/Denver:20240728T180000
DTEND;TZID=America/Denver:20240728T204500
UID:siggraph_SIGGRAPH 2024_sess211_papers_858@linklings.com
SUMMARY:TensoSDF: Roughness-aware Tensorial Representation for Robust Geom
 etry and Material Reconstruction
DESCRIPTION:Jia Li (Shandong University), Beibei Wang (Nanjing University)
 , Lu Wang (Shandong University), and Lei Zhang (The Hong Kong Polytechnic 
 University)\n\nWe propose a novel framework for robust geometry and materi
 al reconstruction. The framework's core is the roughness-aware incorporati
 on of the radiance and reflectance fields to reconstruct arbitrary reflect
 ive objects. The proposed TensoSDF representation enhances the geometry de
 tails while accelerating the training, and the explicit-implicit fusion st
 rategy enables accurate material estimation.\n\nInterest Area: Arts & Desi
 gn, Production & Animation, Research & Education\n\nRecording: Livestreame
 d, Recorded\n\nRegistration Category: Full Conference, Full Conference Sup
 porter, Virtual Access, Experience, Exhibitor Full Conference, Exhibitor E
 xperience, Sunday\n\n
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