A Neural Representation of Sketch Drawings

David Ha; Douglas Eck

ICLR 2018poster1127 citations

A Neural Representation of Sketch Drawings

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.

applicationsimage modellingcomputer-assisteddrawingartcreativitydataset

BibTeX

@inproceedings{
ha2018a,
title={A Neural Representation of Sketch Drawings},
author={David Ha and Douglas Eck},
booktitle={International Conference on Learning Representations},
year={2018},
url={https://openreview.net/forum?id=Hy6GHpkCW},
}