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Update README.md
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README.md
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### How does it work?
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We provide a small stylization effect that contains several filters such as bump mapping or edge enhancement that can be optimized. The optimization yields so-called parameter masks, which contain per
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## π Try it out π
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**Our demo is now on huggingface: [huggingface/Whitebox-Style-Transfer-Editing](https://huggingface.co/spaces/MaxReimann/Whitebox-Style-Transfer-Editing)**
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![Streamlit Screenshot](images/screen_wise_demo.jpg?raw=true "WISE Editing Demo")
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To run
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Then run the streamlit app using `streamlit run Whitebox_style_transfer.py`
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### Further notes
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Pull Requests and further improvements welcome.
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Please note that the shown effect is a minimal pipeline in terms of stylization capability, the much more feature-rich oilpaint and watercolor pipelines we show in our ECCV paper cannot be open-sourced due to IP reasons.
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### How does it work?
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We provide a small stylization effect that contains several filters such as bump mapping or edge enhancement that can be optimized. The optimization yields so-called parameter masks, which contain per-pixel parameter settings for each filter.
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## π Try it out π
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**Our demo is now on huggingface: [huggingface/Whitebox-Style-Transfer-Editing](https://huggingface.co/spaces/MaxReimann/Whitebox-Style-Transfer-Editing)**
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![Streamlit Screenshot](images/screen_wise_demo.jpg?raw=true "WISE Editing Demo")
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To run **locally**, clone the repo recursively and install the dependencies in requirements.txt. Set HUGGINGFACE to false in demo_config.py.
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Then run the streamlit app using `streamlit run Whitebox_style_transfer.py`
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### Further notes
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Pull Requests and further improvements welcome.
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Please note that the shown effect is a minimal pipeline in terms of stylization capability, the much more feature-rich oilpaint and watercolor pipelines we show in our ECCV paper cannot be open-sourced due to IP reasons.
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