Liu, YimingAgarwala, AseemLu, JingwanRusinkiewicz, SzymonPierre Bénard and Holger Winnemöller2016-05-042016-05-042016978-3-03868-002-4-https://doi.org/10.2312/exp.20161070Pictograms (icons) are ubiquitous in visual communication, but creating the best icon is not easy: users may wish to see a variety of possibilities before settling on a final form, and they might lack the ability to draw attractive and effective pictograms by themselves. We describe a system that synthesizes novel pictograms by remixing portions of icons retrieved from a large online repository. Depending on the user's needs, the synthesis can be controlled by a number of interfaces ranging from sketch-based modeling and editing to fully-automatic hybrid generation and scribble-guided montage. Our system combines icon-specific algorithms for salient-region detection, shape matching, and multi-label graph-cut stitching to produce results in styles ranging from line drawings to solid shapes with interior structure.I.3.3 [Computer Graphics]Picture/Image Generation10.2312/exp.20161070113-124