@inproceedings{907df4069b8c4f4693b062392492acdd,
title = "Modeling detailed cloud scene from multi-source images",
abstract = "Realistic cloud is essential for enhancing the quality of computer graphics applications, such as flight simulation. Data-driven method is an effective way in cloud modeling, but existing methods typically only utilize one data source as input. For example, natural images are usually used to model small-scale cloud with details, and satellite images and WRF data are used to model large scale cloud without details. To construct large-scale cloud scene with details, we propose a novel method to extract relevant cloud information from both satellite and natural images. Experiments show our method can produce more detailed cloud scene comparing with existing methods.",
author = "Yunchi Cen and Xiaohui Liang and Junping Chen and Bailin Yang and Li, \{Frederick W.B.\}",
note = "Publisher Copyright: {\textcopyright} 2018 The Author(s).; 26th Pacific Conference on Computer Graphics and Applications, Pacific Graphics 2018 ; Conference date: 08-10-2018 Through 11-10-2018",
year = "2018",
doi = "10.2312/pg.20181278",
language = "英语",
series = "Proceedings - Pacific Conference on Computer Graphics and Applications",
publisher = "IEEE Computer Society",
pages = "49--52",
editor = "Hongbo Fu and Abhijeet Ghosh and Johannes Kopf",
booktitle = "Pacific Graphics 2018 - 26th Pacific Conference on Computer Graphics and Applications, Short Papers and Posters Proceedings",
address = "美国",
}