A Neural Representation of Sketch Drawings

David Ha, Douglas Eck

Feb 15, 2018 (modified: Feb 15, 2018) ICLR 2018 Conference Blind Submission readers: everyone Show Bibtex
  • Abstract: We present sketch-rnn, a recurrent neural network able to construct stroke-based drawings of common objects. The model is trained on a dataset of human-drawn images representing many different classes. We outline a framework for conditional and unconditional sketch generation, and describe new robust training methods for generating coherent sketch drawings in a vector format.
  • TL;DR: We investigate alternative to traditional pixel image modelling approaches, and propose a generative model for vector images.
  • Keywords: applications, image modelling, computer-assisted, drawing, art, creativity, dataset

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