随州帽谑物流有限公司
with Stacked Generative Adversarial Networks
In this work we introduce the conditional version of generative adversarial nets, which can be constructed by simply feeding the data, \(y\) , we wish to condition on to both the generator and discriminator.
Generative adversarial nets can be extended to a conditional model if both the generator and discriminator are conditioned on some extra information \(y\) . \(y\) could be any kind of auxiliary information, such as class labels or data from other modalities. We can perform the conditioning by feeding \(y\) into the both the discriminator and generator as additional input layer.
随州帽谑物流有限公司