Delving into high-quality SVBRDF acquisition: A new setup and method  

作　　者：Chuhua Xian Jiaxin Li Hao Wu Zisen Lin Guiqing Li 

机构地区：[1]School of Computer Science and Engineering,South China University of Technology,Guangzhou 510006,China [2]Guangdong Shidi Intelligence Technology,Ltd.,Guangzhou 510000,China

出　　处：《Computational Visual Media》2024年第3期523-541,共19页计算可视媒体（英文版）

基　　金：supported by the Nature Science Fund of Guangdong Province(No.2021A1515011849);the Key Area Research and Development of Guangdong Province(No.2022A0505050014).

摘　　要：In this study, we present a new andinnovative framework for acquiring high-qualitySVBRDF maps. Our approach addresses the limitations of the current methods and proposes a newsolution. The core of our method is a simple hardwaresetup consisting of a consumer-level camera, LEDlights, and a carefully designed network that canaccurately obtain the high-quality SVBRDF propertiesof a nearly planar object. By capturing a flexiblenumber of images of an object, our network usesdifferent subnetworks to train different property mapsand employs appropriate loss functions for each ofthem. To further enhance the quality of the maps, weimproved the network structure by adding a novel skipconnection that connects the encoder and decoder withglobal features. Through extensive experimentation usingboth synthetic and real-world materials, our resultsdemonstrate that our method outperforms previousmethods and produces superior results. Furthermore,our proposed setup can also be used to acquire physicallybased rendering maps of special materials.

关 键 词：acquisition setup SVBRDF acquisition material capture global skip connection 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]