NPAR16

Permanent URI for this collection

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

Expressive 2016

Joint Symposium of
Computational Aesthetics (CAe)
Non-Photorealistic Animation and Rendering (NPAR)
Sketch-Based Interfaces and Modeling (SBIM)

Lisbon, Portugal | May 2016

Preface and Table of Contents
Working with Images
Painted Stained Glass
[full paper Image] [meta data Image]
Lars Doyle and David Mould
A Benchmark Image Set for Evaluating Stylization
[full paper Image] [meta data Image]
David Mould and Paul L. Rosin
Automatic Texture Guided Color Transfer and Colorization
[full paper Image] [meta data Image]
Benoit Arbelot, Romain Vergne, Thomas Hurtut, and Joëlle Thollot
Parameterized Skin for Rendering Flushing Due to Exertion
[full paper Image] [meta data Image]
Teresa Vieira
Stylization
Barycentric Shaders: Art Directed Shading Using Control Images
[full paper Image] [meta data Image]
Ergun Akleman, S. Liu, and Donald House
Art-directed Watercolor Rendered Animation
[full paper Image] [meta data Image]
Santiago Montesdeoca, Hock-Soon Seah, and Hans-Martin Rall
Map Style Formalization: Rendering Techniques Extension for Cartography
[full paper Image] [meta data Image]
Sidonie Christophe, Bertrand Duménieu, Jérémie Turbet, Charlotte Hoarau, Nicolas Mellado, Jérémie Ory, Hugo Loi, Antoine Masse, Benoit Arbelot, Romain Vergne, Mathieu Brédif, Thomas Hurtut, Joëlle Thollot, and David Vanderhaeghe
Interaction
EasySketch2: A Novel Sketch-based Interface for Improving Children's Fine Motor Skills and School Readiness
[full paper Image] [meta data Image]
Honghoe Kim, Paul Taele, Jinsil Seo, Jeffrey Liew, and Tracy Hammond
Patternista: Learning Element Style Compatibility and Spatial Composition for Ring-based Layout Decoration
[full paper Image] [meta data Image]
Huy Quoc Phan, Jingwan Lu, Paul Asente, Antoni B. Chan, and Hongbo Fu
Interactive NPAR: What Type of Tools Should We Create?
[full paper Image] [meta data Image]
Tobias Isenberg
StandUp: Understanding Body-Part and Gestural Preferences for First-Person 3D Modeling
[full paper Image] [meta data Image]
Kapil Dev, Nicolas Villar, and Manfred Lau
Synthesis
Daisy Visualization for Graphs
[full paper Image] [meta data Image]
Katayoon Etemad, Faramarz Samavati, Sheelagh Carpendale
Data-Driven Iconification
[full paper Image] [meta data Image]
Yiming Liu, Aseem Agarwala, Jingwan Lu, and Szymon Rusinkiewicz
Stippling with Aerial Robots
[full paper Image] [meta data Image]
Brendan Galea, Ehsan Kia, Nicholas Aird, and Paul G. Kry
Quantum Art
[full paper Image] [meta data Image]
Alain Lioret

BibTeX (NPAR16)
@inproceedings{
10.2312:exp.20161059,

booktitle = {
Non-Photorealistic Animation and Rendering},

editor = {
Pierre Bénard and Holger Winnemöller
},
title = {{
A Benchmark Image Set for Evaluating Stylization}},

author = {
Mould, David
 and 
Rosin, Paul L.
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISBN = {978-3-03868-002-4},

DOI = {
10.2312/exp.20161059}

}
@inproceedings{
10.2312:exp.20161063,

booktitle = {
Non-Photorealistic Animation and Rendering},

editor = {
Pierre Bénard and Holger Winnemöller
},
title = {{
Art-directed Watercolor Rendered Animation}},

author = {
Montesdeoca, Santiago E.
 and 
Seah, Hock-Soon
 and 
Rall, Hans-Martin
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISBN = {978-3-03868-002-4},

DOI = {
10.2312/exp.20161063}

}
@inproceedings{
10.2312:exp.20161060,

booktitle = {
Non-Photorealistic Animation and Rendering},

editor = {
Pierre Bénard and Holger Winnemöller
},
title = {{
Automatic Texture Guided Color Transfer and Colorization}},

author = {
Arbelot, Benoit
 and 
Vergne, Romain
 and 
Hurtut, Thomas
 and 
Thollot, Joëlle
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISBN = {978-3-03868-002-4},

DOI = {
10.2312/exp.20161060}

}
@inproceedings{
10.2312:exp.20161064,

booktitle = {
Non-Photorealistic Animation and Rendering},

editor = {
Pierre Bénard and Holger Winnemöller
},
title = {{
Map Style Formalization: Rendering Techniques Extension for Cartography}},

author = {
Christophe, Sidonie
 and 
Duménieu, Bertrand
 and 
Brédif, Mathieu
 and 
Hurtut, Thomas
 and 
Thollot, Joëlle
 and 
Vanderhaeghe, David
 and 
Turbet, Jérémie
 and 
Hoarau, Charlotte
 and 
Mellado, Nicolas
 and 
Ory, Jérémie
 and 
Loi, Hugo
 and 
Masse, Antoine
 and 
Arbelot, Benoit
 and 
Vergne, Romain
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISBN = {978-3-03868-002-4},

DOI = {
10.2312/exp.20161064}

}
@inproceedings{
10.2312:exp.20161067,

booktitle = {
Non-Photorealistic Animation and Rendering},

editor = {
Pierre Bénard and Holger Winnemöller
},
title = {{
Interactive NPAR: What Type of Tools Should We Create?}},

author = {
Isenberg, Tobias
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISBN = {978-3-03868-002-4},

DOI = {
10.2312/exp.20161067}

}
@inproceedings{
10.2312:exp.20161066,

booktitle = {
Non-Photorealistic Animation and Rendering},

editor = {
Pierre Bénard and Holger Winnemöller
},
title = {{
Patternista: Learning Element Style Compatibility and Spatial Composition for Ring-based Layout Decoration}},

author = {
Phan, Huy Quoc
 and 
Lu, Jingwan
 and 
Asente, Paul
 and 
Chan, Antoni B.
 and 
Fu, Hongbo
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISBN = {978-3-03868-002-4},

DOI = {
10.2312/exp.20161066}

}
@inproceedings{
10.2312:exp.20161070,

booktitle = {
Non-Photorealistic Animation and Rendering},

editor = {
Pierre Bénard and Holger Winnemöller
},
title = {{
Data-Driven Iconification}},

author = {
Liu, Yiming
 and 
Agarwala, Aseem
 and 
Lu, Jingwan
 and 
Rusinkiewicz, Szymon
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISBN = {978-3-03868-002-4},

DOI = {
10.2312/exp.20161070}

}

Browse

Recent Submissions

Now showing 1 - 7 of 7
  • Thumbnail Image
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    A Benchmark Image Set for Evaluating Stylization
    (The Eurographics Association, 2016) Mould, David; Rosin, Paul L.; Pierre Bénard and Holger Winnemöller
    The non-photorealistic rendering community has had difficulty evaluating its research results. Other areas of computer graphics, and related disciplines such as computer vision, have made progress by comparing algorithms' performance on common datasets, or benchmarks. We argue for the benefits of establishing a benchmark image set to which image stylization methods can be applied, simplifying the comparison of methods, and broadening the testing to which a given method is subjected. We propose a preliminary set of benchmark images, representing a range of possible subject matter and image features of interest to researchers, and we describe the policies, tradeoffs, and reasoning that led us to the particular images in the set.
  • Thumbnail Image
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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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    Automatic Texture Guided Color Transfer and Colorization
    (The Eurographics Association, 2016) Arbelot, Benoit; Vergne, Romain; Hurtut, Thomas; Thollot, Joëlle; Pierre Bénard and Holger Winnemöller
    This paper targets two related color manipulation problems: Color transfer for modifying an image's colors and colorization for adding colors to a grayscale image. Automatic methods for these two applications propose to modify the input image using a reference that contains the desired colors. Previous approaches usually do not target both applications and suffer from two main limitations: possible misleading associations between input and reference regions and poor spatial coherence around image structures. In this paper, we propose a unified framework that uses the textural content of the images to guide the color transfer and colorization. Our method introduces an edge-aware texture descriptor based on region covariance, allowing for local color transformations. We show that our approach is able to produce results comparable or better than state-of-the-art methods in both applications.
  • Thumbnail Image
    Item
    Map Style Formalization: Rendering Techniques Extension for Cartography
    (The Eurographics Association, 2016) Christophe, Sidonie; Duménieu, Bertrand; Turbet, Jérémie; Hoarau, Charlotte; Mellado, Nicolas; Ory, Jérémie; Loi, Hugo; Masse, Antoine; Arbelot, Benoit; Vergne, Romain; Brédif, Mathieu; Hurtut, Thomas; Thollot, Joëlle; Vanderhaeghe, David; Pierre Bénard and Holger Winnemöller
    Cartographic design requires controllable methods and tools to produce maps that are adapted to users' needs and preferences. The formalized rules and constraints for cartographic representation come mainly from the conceptual framework of graphic semiology. Most current Geographical Information Systems (GIS) rely on the Styled Layer Descriptor and Semiology Encoding (SLD/SE) specifications which provide an XML schema describing the styling rules to be applied on geographic data to draw a map. Although this formalism is relevant for most usages in cartography, it fails to describe complex cartographic and artistic styles. In order to overcome these limitations, we propose an extension of the existing SLD/SE specifications to manage extended map stylizations, by the means of controllable expressive methods. Inspired by artistic and cartographic sources (Cassini maps, mountain maps, artistic movements, etc.), we propose to integrate into our system three main expressive methods: linear stylization, patch-based region filling and vector texture generation. We demonstrate how our pipeline allows to personalize map rendering with expressive methods in several examples.
  • Thumbnail Image
    Item
    Interactive NPAR: What Type of Tools Should We Create?
    (The Eurographics Association, 2016) Isenberg, Tobias; Pierre Bénard and Holger Winnemöller
    I argue that we need to increase our consideration of the interaction that is possible and/or needed for the NPAR algorithms we develop. Depending on the application domain of a given algorithmic contribution, different degrees of interaction are required to make it practically useful and, thus, relevant. The spectrum of interactivity ranges from (almost) fully automatic processing to levels of control that are similar to those of traditional tools-some of the approaches even needing to support the full spectrum. Only if these considerations are first-class members of the NPAR development process can we expect others to want to work with our tools and to use them on a regular basis.
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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.