Inspiration
the artificial look of Fractals outputs is the motive of the proposed project. Detecting and learning the common fractal features and regularities found in both natural scenes while algorithmic fractals provide a good venue for creating more naturalized fractals.
What it does
The conversion of the artificial look-like Fractal output to the look-like humanized image
How we built it
it would be implemented using Python on COLAB, GANs, Fractals
Challenges we ran into
implementing Fractals on Python coding GANs try to use a different variant of GANs
Accomplishments that we're proud of
The novelty of Idea, Implementing Fractals, Using a different Variant of GANs
What we learned
Plausible shapes of fractals fed the generator instead of random vector accelerate the learning algorithm landing AI concepts and tools to the image processing and pattern recognition, working on a multidisciplinary approach to support industry, the coding tricks that faced the coding process while implementing GANs, Fractals
What's next for 21_Fractals_Art
≡ Using GANs in Statistical inference ≡ Interactive Image generation
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