Magic decorator: automatic material suggestion for indoor digital scenes
Kang Chen, Kun Xu, Yizhou Yu, Tian-Yi Wang, Shi-Min Hu
In ACM Transactions on Graphics (TOG), 34(6), November 2015.
Abstract: Assigning textures and materials within 3D scenes is a tedious and labor-intensive task. In this paper, we present Magic Decorator, a system that automatically generates material suggestions for 3D indoor scenes. To achieve this goal, we introduce local material rules, which describe typical material patterns for a small group of objects or parts, and global aesthetic rules, which account for the harmony among the entire set of colors in a specific scene. Both rules are obtained from collections of indoor scene images. We cast the problem of material suggestion as a combinatorial optimization considering both local material and global aesthetic rules. We have tested our system on various complex indoor scenes. A user study indicates that our system can automatically and efficiently produce a series of visually plausible material suggestions which are comparable to those produced by artists.
Article URL: http://doi.acm.org/10.1145/2816795.2818096
BibTeX format:
@article{10.1145-2816795.2818096,
  author = {Kang Chen and Kun Xu and Yizhou Yu and Tian-Yi Wang and Shi-Min Hu},
  title = {Magic decorator: automatic material suggestion for indoor digital scenes},
  journal = {ACM Transactions on Graphics (TOG)},
  volume = {34},
  number = {6},
  articleno = {232},
  month = nov,
  year = {2015},
}
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