Painting by Feature: Texture Boundaries for Example-based Image Creation

Michal Lukáč
CTU in Prague, FEE
 
Jakub Fišer
CTU in Prague, FEE
 
Jean-Charles Bazin
ETH Zurich
Ondřej Jamriška
CTU in Prague, FEE
 
Alexander Sorkine-Hornung
Disney Research Zurich
 
Daniel Sýkora
CTU in Prague, FEE



Abstract

In this paper we propose a reinterpretation of the brush and the fill tools for digital image painting. The core idea is to provide an intuitive approach that allows users to paint in the visual style of arbitrary example images. Rather than a static library of colors, brushes, or fill patterns, we offer users entire images as their palette, from which they can select arbitrary contours or textures as their brush or fill tool in their own creations. Compared to previous example-based techniques related to the painting-by-numbers paradigm we propose a new strategy where users can generate salient texture boundaries by our randomized graph-traversal algorithm and apply a content-aware fill to transfer textures into the delimited regions. This workflow allows users of our system to intuitively create visually appealing images that better preserve the visual richness and fluidity of arbitrary example images. We demonstrate the potential of our approach in various applications including interactive image creation, editing and vector image stylization.

Full text   BibTeX
Supplementary material

ACM Transactions on Graphics 32(4):116, 2013
(SIGGRAPH 2013, Anaheim, California, USA, July 2013).


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