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arxiv:1704.03477
A Neural Representation of Sketch Drawings
Published on Apr 11, 2017
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Abstract
A recurrent neural network generates coherent sketch drawings from human-drawn images using both conditional and unconditional approaches.
AI-generated summary
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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