gan training about monolayout HOT 1 CLOSED

Here we are using the discriminator as a regularization technique, unlike GAN where you have a generator and a discriminator, the task of the discriminator there is to just distinguish b/w real and fake images and the generator constantly updates itself indirectly to fool the discriminator. Here we have an AutoEncoder which outputs a layout and the discriminator makes sure that this layout looks similar to a real layout of an autonomous driving scene.

from monolayout.