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--- |
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tags: |
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- Keras |
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- gan |
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- tensorflow |
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- conditional-image-generation |
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--- |
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## rasm |
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Arabic art using GANs. We currently have two models for generating calligraphy and mosaics. |
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## Notebooks |
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<table class="tg"> |
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<tr> |
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<th class="tg-yw4l"><b>Name</b></th> |
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<th class="tg-yw4l"><b>Notebook</b></th> |
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</tr> |
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<tr> |
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<td class="tg-yw4l">Visualization</td> |
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<td class="tg-yw4l"><a href="https://colab.research.google.com/github/ARBML/rasm/blob/master/demo.ipynb"> |
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<img src="https://colab.research.google.com/assets/colab-badge.svg" width = '100px' > |
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</a></td> |
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</tr> |
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</table> |
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## Visualization |
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A set of functions for vis, interpolation and animation. Mostly tested in colab notebooks. |
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### Load Model |
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```python |
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from rasm import Rasm |
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model = Rasm(mode = 'calligraphy') |
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model = Rasm(mode = 'mosaics') |
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``` |
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### Generate random |
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```python |
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model.generate_randomly() |
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``` |
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### Generate grid |
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```python |
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model.generate_grid() |
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``` |
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### Generate animation |
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```python |
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model.generate_animation(size = 2, steps = 20) |
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``` |
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## Sample Models |
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### Mosaics |
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### Calligraphy |
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## References |
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- Gan-surgery: https://github.com/aydao/stylegan2-surgery |
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- WikiArt model: https://github.com/pbaylies/stylegan2 |
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- Starter-Notebook: https://github.com/Hephyrius/Stylegan2-Ada-Google-Colab-Starter-Notebook/ |
