I want a GAN to train on "before and after" images of dental surgeries; so that it can generate "after" pictures for fresh patients.
Now being a web developer, I am getting into AI.
I have read a hell lot on Basic ML, AI, GANs, VAE, StyleGANs, etc.
Made small projects on Tensorflow, etc.
I have my basics and theoretical knowledge in place. But I dont know how to get started practically on the above idea I have.
What should be my approach?
Following are my questions:
How many "before and after" images will I need?
What architecture should I use? i.e. StyleGAN, VAE?
As I will need my custom model; training a fresh model would need a good GPU. What platform should I go for? Colab, Floyhub, or something else
One approach that comes to my mind is that - Process the image, do the color segmentation or something.
Add a static tooth image to area where tooth is missing. Then feed this image to a GAN, so that it can polish that image to look real.
Please guide me in the right direction. Sorry if any of my question is nonsense.