- Yes, you can generate pokemons from thin air, but the basic gan approach from lesson 7 won’t get you very far. It is a small model and simply too weak, compared to modern SOTA architectures. It is just meant to help you get an understanding of how a very basic GANs work.
You can check out my work here: https://github.com/Atom-101/PokeGAN. This is kind of how your results would look with a basic GAN. - You cannot directly give that gan a picture. This is simply because the GAN generator takes as input a low dimensional noise (your picture may be 256x256x3 but the gan input would be something like 512x1). You won’t be able to feed a picture into it but, what you can do is use a separate encoder to to encode your high dimensional real image into a low dimensional latent vector.
If you can find latent embeddings of real images, you can do style transfer using NVIDIA’s super popular Stylegan architecture. Stylegan can generate images out of thin air as well as do style transfer.
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