The input to the G-network is a Vector of numbers, of size K. The output is an image. Different random vectors give different output images. We are doing vecto

The input to the G-network is a Vector of numbers, of size K. The output is an image. Different random vectors give different output images. We are doing vector arithmetic in this input space, and the outputs seem to be semantically changing according to the vector arithmetic.