Expressive 2017

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

Los Angeles, California | June 29 – 30, 2017

Sketching
SmartSketcher: Sketch-based Image Retrieval with Dynamic Semantic Reranking
Tiziano Portenier, Qiyang Hu, Paolo Favaro, and Matthias Zwicker
Conquering the Cube: Learning to Sketch Primitives in Perspective with an Intelligent Tutoring System
Swarna Keshavabhotla, Blake Williford, Shalini Kumar, Ethan Hilton, Paul Taele, Wayne Li, Julie Linsey, and Tracy Hammond
Flow2Code: From Hand-drawn Flowcharts to Code Execution
Jorge-Ivan Herrera-Camara and Tracy Hammond
3D (The Third Dimension)
Interactive swept surface modeling in virtual reality with motion-tracked controllers
Tim McGraw, Esteban Garcia, and Drew Sumner
General Submissions (Abstracts)
A taxonomy of motion applications in data visualization
Irene de la Torre - Arenas and Pedro Cruz
Shading with Painterly Filtered Layers: A Technique to Obtain Painterly Portrait Animations
Saif Castaneda and Ergun Akleman
Modeling Go: A mobile sketch-based modeling system for extracting objects
Chun-An Lai and Pei-Ying Chiang
Characterizing User Behavior for Speech and Sketch-based Video Retrieval Interfaces
Ozan Can Altıok and Tev k Metin Sezgin
Sketch and Shade : An interactive assistant for sketching and shading
Amal Dev Parakkat, Sarang Anil Joshi, Uday Bondi Pundarikaksha, and Ramanathan Muthuganapathy

Recent Submissions

  • Sketch and Shade : An interactive assistant for sketching and shading 

    Parakkat, Amal Dev; Joshi, Sarang Anil; Pundarikaksha, Uday Bondi; Muthuganapathy, Ramanathan (Association for Computing Machinery, Inc (ACM), 2017)
    We present a drawing assistant for sketching and for assisting users in shading a hand drawn sketch. The augmented reality based system uses a sketch made by a professional and uses it to help inexperienced users to do ...
  • Characterizing User Behavior for Speech and Sketch-based Video Retrieval Interfaces 

    Altıok, Ozan Can; Sezgin, Tev k Metin (Association for Computing Machinery, Inc (ACM), 2017)
    From a user interaction perspective, speech and sketching make a good couple for describing motion. Speech allows easy speci cation of content, events and relationships, while sketching brings in spatial expressiveness. ...
  • Modeling Go: A mobile sketch-based modeling system for extracting objects 

    Lai, Chun-An; Chiang, Pei-Ying (Association for Computing Machinery, Inc (ACM), 2017)
    This article presents an easy to use mobile application which allows users to create 3D digital copies of their interested objects anywhere and anytime. An advanced 3-sweep modeling technique is developed to construct 3D ...
  • Shading with Painterly Filtered Layers: A Technique to Obtain Painterly Portrait Animations 

    Castaneda, Saif; Akleman, Ergun (Association for Computing Machinery, Inc (ACM), 2017)
    In this manuscript, we describe a process that can be used to create still and/or animated portrait paintings to be shown in Expressive Art Exhibit. Our process consists of two stages: (1) Creation of control textures for ...
  • A taxonomy of motion applications in data visualization 

    Arenas, Irene de la Torre -; Cruz, Pedro (Association for Computing Machinery, Inc (ACM), 2017)
    We propose a new taxonomy that explains the roles of motion in data visualization, focusing especially on their communicative aspects. Our taxonomy clarifies the main axis in how visualization designers can employ motion ...
  • Benchmarking Non-Photorealistic Rendering of Portraits 

    Rosin, Paul L.; Mould, David; Berger, Itamar; Collomosse, John; Lai, Yu-Kun; Li, Chuan; Li, Hua; Shamir, Ariel; Wand, Michael; Wang, Tinghuai; Winnem, Holger (Association for Computing Machinery, Inc (ACM), 2017)
    We present a set of images for helping NPR practitioners evaluate their image-based portrait stylisation algorithms. Using a standard set both facilitates comparisons with other methods and helps ensure that presented ...
  • Mixed Illumination Analysis in Single Image for Interactive Color Grading 

    Duchêne, Sylvain; Aliaga, Carlos; Pouli, Tania; Pérez, Patrick (Association for Computing Machinery, Inc (ACM), 2017)
    Colorists often use keying or rotoscoping tools to access and edit particular colors or parts of the scene. Although necessary, this is a time-consuming and potentially imprecise process, as it is not possible to fully ...
  • A generic framework for the structured abstraction of images 

    Faraj, Noura; Xia, Gui-Song; Delon, Julie; Gousseau, Yann (Association for Computing Machinery, Inc (ACM), 2017)
    Structural properties are important clues for non-photorealistic representations of digital images. erefore, image analysis tools have been intensively used either to produce stroke-based render- ings or to yield abstractions ...
  • Quantifying Visual Abstraction ality for Stipple Drawings 

    Spicker, Marc; Hahn, Franz; Lindemeier, Thomas; Saupe, Dietmar; Deussen, Oliver (Association for Computing Machinery, Inc (ACM), 2017)
    We investigate how the perceived abstraction quality of stipple illustrations is related to the number of points used to create them. Since it is di cult to nd objective functions that quantify the visual quality of such ...
  • Whole-Cloth Quilting Patterns from Photographs 

    Liu, Chenxi; Hodgins, Jessica; McCann, James (Association for Computing Machinery, Inc (ACM), 2017)
    Whole-cloth quilts are decorative and functional artifacts made of plain cloth embellished with complicated stitching patterns. We describe a method that can automatically create a sewing pattern for a whole-cloth quilt ...
  • Real-Time Panorama Maps 

    Brown, S. Alex; Samavati, Faramarz (Association for Computing Machinery, Inc (ACM), 2017)
    Panorama maps are stylized paintings of terrain often seen at tourist destinations. They are difficult to create since they are both artistic and grounded in real geographic data. In this paper we present techniques for ...
  • Neural Style Transfer: A Paradigm Shift for Image-based Artistic Rendering? 

    Semmo, Amir; Isenberg, Tobias; Döllner, Jürgen (Association for Computing Machinery, Inc (ACM), 2017)
    In this meta paper we discussimage-based artistic rendering (IB-AR)based onneural style transfer(NST) and argue, while NST may represent a paradigm shift for IB-AR, that it also has to evolve as an interactive tool that ...
  • Depth-aware Neural Style Transfer 

    Liu, Xiao-Chang; Cheng, Ming-Ming; Lai, Yu-Kun; Rosin, Paul L. (Association for Computing Machinery, Inc (ACM), 2017)
    Neural style transfer has recently received signi cant a ention and demonstrated amazing results. An e cient solution proposed by Johnson et al. trains feed-forward convolutional neural networks by de ning and optimizing ...
  • Example-Based Brushes for Coherent Stylized Renderings 

    Zheng, Ming; Milliez, Antoine; Gross, Markus; Sumner, Robert W. (Association for Computing Machinery, Inc (ACM), 2017)
    Painterly stylization is the cornerstone of non-photorealistic render- ing. Inspired by the versatility of paint as a physical medium, exist- ing methods target intuitive interfaces that mimic physical brushes, providing ...
  • Edge- and substrate-based effects for watercolor stylization 

    Montesdeoca, Santiago E.; Seah, Hock Soon; Bénard, Pierre; Vergne, Romain; Thollot, Joëlle; Rall, Hans-Martin; Benvenuti, Davide (Association for Computing Machinery, Inc (ACM), 2017)
    We investigate characteristic edge- and substrate-based effects for watercolor stylization. These two fundamental elements of painted art play a significant role in traditional watercolors and highly influence the pigment's ...
  • Pigment-Based Recoloring of Watercolor Paintings 

    Aharoni-Mack, Elad; Shambik, Yakov; Lischinski, Dani (Association for Computing Machinery, Inc (ACM), 2017)
    The color palette used by an artist when creating a painting is an important tool for expressing emotion, directing attention, and more. However, choosing a palette is an intricate task that requires considerable skill and ...
  • Front- and Backmatter: NPAR 2017 

    Holger Winnemoeller; Lyn Bartram (Association for Computing Machinery, Inc (ACM), 2017)