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A Neural Representation of Sketch Drawings

Abstract · Apr 11, 2017 18:09 ·

cs-ne cs-lg stat-ml

Arxiv Abstract

  • David Ha
  • Douglas Eck

We present sketch-rnn, a recurrent neural network (RNN) able to construct stroke-based drawings of common objects. The model is trained on thousands of crude human-drawn images representing hundreds of 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.

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