Keras gan tensorflow conditional-image-generation

rasm

Arabic art using GANs. We currently have two models for generating calligraphy and mosaics.

Notebooks

<table class="tg"> <tr> <th class="tg-yw4l"><b>Name</b></th> <th class="tg-yw4l"><b>Notebook</b></th> </tr> <tr> <td class="tg-yw4l">Visualization</td> <td class="tg-yw4l"><a href="https://colab.research.google.com/github/ARBML/rasm/blob/master/demo.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg" width = '100px' > </a></td> </tr> </table>

Visualization

A set of functions for vis, interpolation and animation. Mostly tested in colab notebooks.

Load Model

from rasm import Rasm
model = Rasm(mode = 'calligraphy')
model = Rasm(mode = 'mosaics')

Generate random

model.generate_randomly()

Generate grid

model.generate_grid()

Generate animation

model.generate_animation(size = 2, steps = 20)

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Sample Models

Mosaics

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Calligraphy

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References