was changed with mean squared error in the image in the middle we see that the ear has vanished because the exact location of the ear is not especially predictable and when the model averages over many different possible places the year could go it vanishes similarly the eye has become blurry in the image on the right we see what happens when an adversarial loss is included in the training process in this case the model is now encouraged to produce samples that actually look realistic and it knows that there are multiple different