Inspiration
Sometimes the image maybe not be clear, to restore the image we can convert it into a high restoration image using the gan model . If you are drawing a comic book you want see how will the image look in cartoon version we use white box gan for it , it cartoonify a image
What it does
The key idea of a GAN model is to train two networks (i.e., a generator and a discriminator) iteratively, whereby the adversarial the loss provided by the discriminator pushes the generated images towards the target manifold.
How we built it
We built it using streamlit and python
Challenges we ran into
While deploying the website on streamlit , we were facing some deploying errors. We faced some difficulties while preprocessing the data files prior to training our models.
Accomplishments that we're proud of
What we learned
We learned how images operations can help the art industry,how to deploy a streamlit app
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