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DTSTAMP:20240214T070248Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T170300
DTEND;TZID=Australia/Melbourne:20231214T171800
UID:siggraphasia_SIGGRAPH Asia 2023_sess133_papers_432@linklings.com
SUMMARY:OpenSVBRDF: A Database of Measured Spatially-Varying Reflectance
DESCRIPTION:Technical Communications, Technical Papers\n\nXiaohe Ma, Xianm
 in Xu, Leyao Zhang, Kun Zhou, and Hongzhi Wu (State Key Laboratory of CAD&
 CG, Zhejiang Univerisity)\n\nWe present the first large-scale database of 
 measured spatially-varying anisotropic reflectance, consisting of 1,000 hi
 gh-quality near-planar SVBRDFs, spanning 9 material categories such as woo
 d, fabric and metal. Each sample is captured in 15 minutes, and represente
 d as a set of high-resolution texture maps that correspond to spatially-va
 rying BRDF parameters and local frames. To build this database, we develop
  a novel integrated system for robust, high-quality and -efficiency reflec
 tance acquisition and reconstruction. Our setup consists of 2 cameras and 
 16,384 LEDs. We train 64 lighting patterns for efficient acquisition, in c
 onjunction with a network that predicts per-point reflectance in a neural 
 representation from carefully aligned two-view measurements captured under
  the patterns. The intermediate results are further fine-tuned with respec
 t to the photographs acquired under 63 effective linear lights, and finall
 y fitted to a BRDF model. We report various statistics of the database, an
 d demonstrate its value in the applications of material generation, classi
 fication as well as sampling. All related data, including future additions
  to the database, can be downloaded from https://opensvbrdf.github.io/.\n\
 nRegistration Category: Full Access\n\nSession Chair: Anton Kaplanyan (Int
 el)
URL:https://asia.siggraph.org/2023/full-program?id=papers_432&sess=sess133
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