GAN types

GAN generate image randomly which is unpredictable. By using an additional condition vector to indicate the class of image we like to the graining, we can get GAN to generate specific class of image we wanted. This is called conditional GAN. 

A controllable GAN is  a GAN that we can use the random vector to influence part of the image. For example, change the image hair color, gender etc through altering the value of the input vector. This is equivalent of mapping the vector space to the image space. The input vector may need much more values (dimension) to make the out put more controllable. It is because in a low dimensional vector, one value change may affect multiple feature of the image. This is called entanglement. A higher dimensional vector is more likely to minimize the correlation of 1 value to many features in the image space