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

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.

Tasks

Reproductions