You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: Network Architecture.Adapted from CycleGAN [33], StarGAN has the generator network composed of two convolutional layers with the stride size of two for downsampling, six residual blocks [5], and two transposed convolutional layers with the stride size of two for upsampling. We use instance normalization [29] for the generator but no normalization for the discriminator. We leverage PatchGANs [7, 15, 33] for the discriminator network, which classifies whether local image patches are real or fake. See the appendix (Section 7.2) for more details about the network architecture.

Question: Model architecture of StarGAN is based on two other GAN models. What is it?
The CycleGAN and the PatchGAN. According to the paper, StarGAN was basically generated from CycleGAN. In addition, paper note that discriminator was made by PatchGAN.