Pix2pix GAN Generative Deep Learning Model Learn more at Hackerstreak

Pix2Pix GAN has a generator and a discriminator just like a normal GAN would have. But, it is more supervised than GAN (as it has target images as output labels). For our black and white image colorization task, the input B&W is processed by the generator model and it produces the color version of the input as output. In Pix2Pix, the generator is a convolutional network with U-net architecture. It takes in the input image (B&W, single channel), passes it through a series of convolution and up-sampling layers.