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A Neural Representation of Sketch Drawings
David Ha, Douglas Eck
arXiv: 1704.03477v1 (cs.NE)
License: NONEXCLUSIVE-DISTRIB 1.0
Abstract: 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.
Submitted to arXiv on 11 Apr. 2017