A Neural Representation of Sketch Drawings

04/11/2017 ∙ by David Ha, et al. ∙ 0

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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Code Repositories

Pytorch-Sketch-RNN

a pytorch implementation of https://arxiv.org/abs/1704.03477


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