Our first approach is to use computer vision to color the hair directly via some noise.
Our second approach is to use a hair color recognizer and create a GAN to take a hair image and convert to the desired color. We verify using the recognizer. Loss will simply just be binary_crossentropy (check colors are same).
We will try different hair colours
Our first approach is to use computer vision to color the hair directly via some noise.
Our second approach is to use a hair color recognizer and create a GAN to take a hair image and convert to the desired color. We verify using the recognizer. Loss will simply just be binary_crossentropy (check colors are same).