# StrokeCoder: Path-Based Image Generation from Single Examples using Transformers

arXiv: https://arxiv.org/abs/2003.11958 · HTML: https://mlsanity.com/paper/2003.11958/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Mar 2020.

## Built on by (most cited first, 2 of 2)

- [Generative Adversarial Networks with Conditional Neural Movement Primitives for An Interactive Generative Drawing Tool](https://mlsanity.com/paper/2111.14934/) (2021)
- [PatternPortrait: Draw Me Like One of Your Scribbles](https://mlsanity.com/paper/2401.13001/) (2024)

## Abstract (arXiv)

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.