Improving image generative models with human interactions

Understand

GANs provide a framework for training generative models which mimic a data distribution.

• However, in many cases we wish to train these generative models to optimize some auxiliary objective function within the data it generates, such as making more aesthetically pleasing images.
• In some cases, these objective functions are difficult to evaluate, e.g.
• they may require human interaction.