Add github readme

README.md

@@ -10,5 +10,33 @@ tags: [Style Transfer,Image Synthesis,Editing,Painting]
 pinned: false
 license: mit
 ---
+# White-box Style Transfer Editing (WISE) Demo
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+This app demonstrates the editing capabilities of the [White-box Style Transfer Editing (WISE) framework](https://github.com/winfried-ripken/wise).
+It optimizes the parameters of classical image processing filters to match a given style image.
+After optimization, parameters can be tuned by hand to achieve a desired look.
+
+
+### How does it work?
+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 of each filter.
+
+## 🚀 Try it out 🚀 
+**Our demo is now on huggingface: [huggingface/Whitebox-Style-Transfer-Editing](https://huggingface.co/spaces/MaxReimann/Whitebox-Style-Transfer-Editing)**
+
+![Streamlit Screenshot](images/screen_wise_demo.jpg?raw=true "WISE Editing Demo")
+
+To run it **locally**, clone the repo recursively and install the dependencies in requirements.txt. Set HUGGINGFACE to false in demo_config.py. 
+Then run the streamlit app using `streamlit run Whitebox_style_transfer.py`
+
+
+
+## Links & Paper 
+[Project page](https://ivpg.hpi3d.de/wise/),
+[arxiv link](https://arxiv.org/abs/2207.14606),
+[framework code](https://github.com/winfried-ripken/wise)
+
+"WISE: Whitebox Image Stylization by Example-based Learning", by Winfried Lötzsch*, Max Reimann*, Martin Büßemeyer, Amir Semmo, Jürgen Döllner, Matthias Trapp, in ECCV 2022
+
+### Further notes
+Pull Requests and further improvements welcome.
+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.

pages/Readme.py

@@ -21,6 +21,7 @@ st.markdown("""
     ### Links & Paper 
     [Project page](https://ivpg.hpi3d.de/wise/),
     [arxiv link](https://arxiv.org/abs/2207.14606)
+    [demo code](https://github.com/MaxReimann/WISE-Editing)
 
     "WISE: Whitebox Image Stylization by Example-based Learning", by Winfried Lötzsch*, Max Reimann*, Martin Büßemeyer, Amir Semmo, Jürgen Döllner, Matthias Trapp, in ECCV 2022