Patternista: Learning Element Style Compatibility and Spatial Composition for Ring-based Layout Decoration

Thumbnail Image
Date
2016
Authors
Phan, Huy Quoc
Lu, Jingwan
Asente, Paul
Chan, Antoni B.
Fu, Hongbo
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Creating aesthetically pleasing decorations for daily objects is a task that requires deep understanding of multiple aspects of object decoration, including color, composition and element compatibility. A designer needs a unique aesthetic style to create artworks that stand out. Although specific subproblems have been studied before, the overall problem of design recommendation and synthesis is still relatively unexplored. In this paper, we propose a flexible data-driven framework to jointly consider two aspects of this design problem: style compatibility and spatial composition. We introduce a ring-based layout model capable of capturing decorative compositions for objects like plates, vases and pots. Our layout representation allows the use of the hidden Markov models (HMM's) technique to make intelligent design suggestions for each region of a target object in a sequential fashion. We conducted both quantitative and qualitative experiments to evaluate the framework and obtained favorable results.
Description

        
@inproceedings{
10.2312:exp.20161066
,
booktitle = {
Non-Photorealistic Animation and Rendering
},
editor = {
Pierre Bénard and Holger Winnemöller
},
title = {{
Patternista: Learning Element Style Compatibility and Spatial Composition for Ring-based Layout Decoration
}},
author = {
Phan, Huy Quoc
 and 
Lu, Jingwan
 and 
Asente, Paul
 and 
Chan, Antoni B.
 and 
Fu, Hongbo
},
year = {
2016
},
publisher = {
The Eurographics Association
},
ISSN = {
-
},
ISBN = {
978-3-03868-002-4
},
DOI = {
10.2312/exp.20161066
}
}
Citation
URI
https://doi.org/10.2312/exp.20161066
Collections
NPAR16