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DTSTAMP:20260114T163649Z
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:Xiaohe Ma, Xianmin Xu, Leyao Zhang, Kun Zhou, and Hongzhi Wu (
 State Key Laboratory of CAD&CG, Zhejiang Univerisity)\n\nWe present the fi
 rst large-scale database of measured spatially-varying anisotropic reflect
 ance, consisting of 1,000 high-quality near-planar SVBRDFs, spanning 9 mat
 erial categories such as wood, fabric and metal. Each sample is captured i
 n 15 minutes, and represented as a set of high-resolution texture maps tha
 t correspond to spatially-varying BRDF parameters and local frames. To bui
 ld this database, we develop a novel integrated system for robust, high-qu
 ality and -efficiency reflectance acquisition and reconstruction. Our setu
 p consists of 2 cameras and 16,384 LEDs. We train 64 lighting patterns for
  efficient acquisition, in conjunction with a network that predicts per-po
 int reflectance in a neural representation from carefully aligned two-view
  measurements captured under the patterns. The intermediate results are fu
 rther fine-tuned with respect to the photographs acquired under 63 effecti
 ve linear lights, and finally fitted to a BRDF model. We report various st
 atistics of the database, and demonstrate its value in the applications of
  material generation, classification 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 (Intel)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_432&sess=sess133
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