摘要
Appearance modeling is an essential task in computer graphics for capturing and reproducing rich appearance of real world materials under different lighting and viewing conditions.With recent advances of deep learning techniques,a set of deep learning based approaches have been proposed for improving the efficiency and result quality of appearance modeling.In this paper,we provide a survey of these deep appearance modeling techniques from both graphics and machine learning perspectives,and discuss the challenges and opportunities along this direction.
