Sketch-Based Modeling of Parametric Shapes (Unknown language)

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We demonstrate a sketch-based modeling system running on a multi-touch pen tablet. Our system takes inspiration from the work of Nishida et al. [NGDGA*16], who proposed to use deep convolutional networks to interpret sketches of parametric shapes. While Nishida et al. applied this approach to the creation of procedural buildings, we focus on the creation of simple shapes (cuboids, cylinders, cones, spheres, pyramids) that users can assemble to create more complex objects. In this poster we describe the main components of our system - the deep convolutional networks used for sketch interpretation, the training data, the user interface, and the overall software architecture that combines these components. We will allow conference attendees to test our system on a pen tablet.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
Wandering Without Wondering
Williams, Peter J. / Wong, Sala | 2019
3
The CyberAnthill: A Computational Sculpture
Raskob, Evan | 2019
5
Mutator VR: Vortex Artwork and Science Pedagogy Adaptations
Putnam, Lance / Todd, Stephen / Latham, William / Williams, Duncan | 2019
7
Artistic Sketching for Expressive Coding
Fourquet, Elodie | 2019
9
Transhuman Expression - Human-Machine Interaction as a Neutral Base for a New Artistic and Creative Practice
Grayver, Liat / Volpe, Gualtiero | 2019
13
Emergence in the Expressive Machine
Dekker, Laura | 2019
17
Visual Communication with Successive Reading of Public and Secret Information by Generating Dual-Layer Images
Hammoudi, Karim / Benhabiles, Halim / Melkemi, Mahmoud / Kadapanatham, Shashank Rao | 2019
19
Sketch-Based Modeling of Parametric Shapes
Wailly, Bastien / Bousseau, Adrien | 2019
21
SURFACE: Xbox Controlled Hot-wire Foam Cutter
Hong, Freddie Taewoo | 2019
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