• Consists of two neural networks that compete with each other: The generator, which tries to generate realistic images from noise, and the discriminator, which tries to tell whether a given image is real or fake. There are thousands of papers on GANs in the literature and hundreds of applications -ASU CSE598

Is a:

• method

Applications:

• Image Generation

Advantages:

• very realistic images

Disadvantages:

• can be notoriously hard to optimize
• does not provide the inference p(x) - the probability of the input image x