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

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Date
2016
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.
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@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
} }
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