Inspiration

We are computer vision PhD students so that is our expertise. Probably also fake awareness

What it does

It artificially alters images of female faces (no make-up) such that after the altering process make-up has been applied on the face.

How we built it

We use 2 neural networks competing against each other. One neural net generates fakes and the other detects it. After a long training process the generator becomes so well at faking good looking images that the detector isn't able to tell fake from real.

Challenges we ran into

Mostly convergence issues and finding the right parameters for the learning process.

Accomplishments that we're proud of

Artificially generating fake images where most people would not notice. We farmed 200K images of celebrities that we used to train the network for makeupifycation

What we learned

Data is one of the most important part.

What's next for DeepFakes

Do actually something meaningful -> Beautyfication?

Built With

  • pytorch
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