- 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 coherent sketch drawings in a vector format.
- TL;DR: We investigate alternative to traditional pixel image modelling approaches, and propose a generative model for vector images.
- Keywords: applications, image modelling, computer-assisted, drawing, art, creativity, dataset