Learning optimal lighting patterns for efficient SVBRDF acquisition

Kaizhang Kang, Zimin Chen, Jiaping Wang, Kun Zhou, Hongzhi Wu

Abstract: Digitally acquiring high-quality material appearance from the real-world is challenging, with applications in visual effects, e-commerce and entertainment. One popular class of existing work is based on hand-derived illumination multiplexing [Ghosh et al. 2009], using hundreds of patterns in the most general case [Chen et al. 2014].