@inproceedings{8641f0e1cc0d4e4abf45daa07f9b59d0,
title = "Image2Scene: Transforming style of 3D room",
abstract = "We propose a style transformation system to transform a 3D room into one that resembles the style of a photograph. We focus on two major components of interior scene style: layout and color. Using an interior image database, we learn the related style guidelines. Given a reference image and a 3D room of two different interior rooms, we first establish semantic correspondence between the two scenes. The styles of the reference image are then extracted in the form of layout constraints and color schemes. Finally, our framework performs layout rearrangement followed by recoloring of the scene to match the learned style of the reference image. We show style transformation results on numerous examples to demonstrate the effectiveness and efficiency of our system.",
keywords = "3D indoor scene, Color, Layout, Style transformation",
author = "Xiaowu Chen and Jianwei Li and Qing Li and Bo Gao and Dongqing Zou and Qinping Zhao",
note = "Publisher Copyright: {\textcopyright} 2015 ACM.; 23rd ACM International Conference on Multimedia, MM 2015 ; Conference date: 26-10-2015 Through 30-10-2015",
year = "2015",
month = oct,
day = "13",
doi = "10.1145/2733373.2806274",
language = "英语",
series = "MM 2015 - Proceedings of the 2015 ACM Multimedia Conference",
publisher = "Association for Computing Machinery, Inc",
pages = "321--330",
booktitle = "MM 2015 - Proceedings of the 2015 ACM Multimedia Conference",
}