NPAR16

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https://diglib.eg.org/handle/10.2312/15069

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Browsing NPAR16 by Subject "I.3.3 [Computer Graphics]"

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    Art-directed Watercolor Rendered Animation
    (The Eurographics Association, 2016) Montesdeoca, Santiago E.; Seah, Hock-Soon; Rall, Hans-Martin; Pierre Bénard and Holger Winnemöller
    This paper presents a system to render 3D animated geometry as watercolor painted animation with art-directed control. Our approach focuses on letting the end user paint the influence of the modeled watercolor effects in the 3D scene to simulate the characteristic appearance of traditional watercolor. For this purpose, it performs an object-space simulation and makes use of the user-painted influences to control and enhance image-space watercolor effects. In contrast to previous approaches, we introduce specialized watercolor shaders that are adjusted and deformed according to the desired painted effects. We further present novel algorithms that simulate hand tremors, pigment turbulence, color bleeding, edge darkening, paper distortion and granulation. All of these represent essential characteristic effects of traditional watercolor. The system performs in real-time, scales well with scene complexity and is fully implemented in Autodesk Maya.
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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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    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.