Computer Graphics Laboratory ETH Zurich


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

M. Lukac, J. Fiser, J.C. Bazin, O. Jamriska, A. Sorkine-Hornung, D. Sykora

Proceedings of ACM SIGGRAPH (Anaheim, USA, July 21-25, 2013), ACM Transactions on Graphics, vol. 32, no. 4, pp. 146:1-146:12
[Abstract] [BibTeX] [PDF][PDF suppl.] [Video]


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. .

[Download Video]

author = {Michal Luk\'{a}\v{c} and Jakub Fi\v{s}er and Jean-Charles Bazin and Ond\v{r}ej Jamri\v{s}ka and Alexander Sorkine-Hornung and Daniel S\'{y}kora},
title = {Painting by Feature: Texture Boundaries for Example-based Image Creation},
journal = {ACM Transactions on Graphics (Proceedings of SIGGRAPH 2013)},
year = {2013},
volume = {32},
number = {4},
pages = {116}
[Download BibTeX]







Download Paper
Download Paper
[PDF suppl.]
Download Video