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Now showing 1 - 3 of 3
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    Patternista: Learning Element Style Compatibility and Spatial Composition for Ring-based Layout Decoration
    (The Eurographics Association, 2016) Phan, Huy Quoc; Lu, Jingwan; Asente, Paul; Chan, Antoni B.; Fu, Hongbo; Pierre Bénard and Holger Winnemöller
    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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    Data-Driven Iconification
    (The Eurographics Association, 2016) Liu, Yiming; Agarwala, Aseem; Lu, Jingwan; Rusinkiewicz, Szymon; Pierre Bénard and Holger Winnemöller
    Pictograms (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.
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    Active Strokes: Coherent Line Stylization for Animated 3D Models
    (The Eurographics Association, 2012) Benard, Pierre; Lu, Jingwan; Cole, Forrester; Finkelstein, Adam; Thollot, Joelle; Paul Asente and Cindy Grimm
    This paper presents a method for creating coherently animated line drawings that include strong abstraction and stylization effects. These effects are achieved with active strokes: 2D contours that approximate and track the lines of an animated 3D scene. Active strokes perform two functions: they connect and smooth unorganized line samples, and they carry coherent parameterization to support stylized rendering. Line samples are approximated and tracked using active contours (''snakes'') that automatically update their arrangment and topology to match the animation. Parameterization is maintained by brush paths that follow the snakes but are independent, permitting substantial shape abstraction without compromising fidelity in tracking. This approach renders complex models in a wide range of styles at interactive rates, making it suitable for applications like games and interactive illustrations.