A Neural Representation of Sketch Drawings
ICLR, Volume abs/1704.03477, 2018.
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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