---
license: mit
---
This model can create line-drawings using an xDoG algorithmic effect with predicted parametrizations.
[Demo space of framework](https://huggingface.co/spaces/MaxReimann/Whitebox-Style-Transfer-Editing)
Code for framework: [https://github.com/winfried-ripken/wise](https://github.com/winfried-ripken/wise)
Paper on Arxiv: [arxiv/2207.14606](https://arxiv.org/abs/2207.14606)
[WISE: Whitebox Image Stylization by Example-based Learning](https://ivpg.hpi3d.de/wise)
[Winfried Lötzsch](https://scholar.google.de/citations?user=wAVKdLcAAAAJ&hl=de)\*1,
[Max Reimann](https://hpi.de/doellner/people/max-reimann.html)\*1,
[Martin Büßemeyer](https://www.researchgate.net/profile/Martin-Buessemeyer)1,
[Amir Semmo](http://asemmo.github.io/)2,
[Jürgen Döllner](https://hpi.de/forschung/fachgebiete/computergrafische-systeme.html)1,
[Matthias Trapp](https://hpi.de/doellner/people/trapp.html)1
1Hasso Plattner Institute, University of Potsdam, Germany, 2Digitalmasterpieces GmbH, Germany
\*denotes equal contribution
in ECCV 2022
``` latex
@InProceedings{loetzsch2022wise,
title={WISE: Whitebox Image Stylization by Example-based Learning},
author={Lötzsch, Winfried and Reimann, Max and Büssemeyer, Martin and Semmo, Amir and Döllner, Jürgen and Trapp, Matthias},
title="WISE: Whitebox Image Stylization by Example-Based Learning",
booktitle="Computer Vision -- ECCV 2022",
year="2022"
}
```