--- 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" } ```