StrokeCoder: Path-Based Image Generation from Single Examples using Transformers
Machine Learning
2020-06-12 v2 Machine Learning
Abstract
This paper demonstrates how a Transformer Neural Network can be used to learn a Generative Model from a single path-based example image. We further show how a data set can be generated from the example image and how the model can be used to generate a large set of deviated images, which still represent the original image's style and concept.
Cite
@article{arxiv.2003.11958,
title = {StrokeCoder: Path-Based Image Generation from Single Examples using Transformers},
author = {Sabine Wieluch and Friedhelm Schwenker},
journal= {arXiv preprint arXiv:2003.11958},
year = {2020}
}