The Simplest version of Deepfakes Faceswap in Tensorflow
I've been looking for a simple implementation in pure tensorflow of this model and I didn't found a clue, so I though of made my own try here.
What I understand about this model is:
- There is two autoencoders sharing the same encoder (Encoder)
- Each autoencoder have it's own decoder (Decoder_A and Decoder_B) which is intended to learn how to draw a different face (In my case Trump and Cage faces)
- When all the system is trained you are able to switch decoders and draw a face of Cage with input of Trump
It's starting to work now, but it looks like a bit underfitting or undertrained. I assume I want to keep it simple, but I think I can get better results without make it much more difficult You can check my ATM results in the Jupyter Notebook I expected to improve it soon when I had some time, any help would be appreciated.
