A Neural Representation of Sketch Drawings

Understand

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.