A Neural Representation of Sketch Drawings

David Ha
David Ha

ICLR, Volume abs/1704.03477, 2018.

Cited by: 271|Bibtex|Views9|Links
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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 cohere...More

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