Generative adversarial network (GAN) technology can be used to create both original artwork and forgeries. GANs play two neural networks against each other to create art, with the process mimicking a picture forger and an art detective going back and forth and trying to outwit one another. The first step is creating a generative model of your artwork. You start by feeding both neural networks a whole lot of training data and give each one a separate task. This ability to mimic data patterns could be helpful in sectors such as medicine, where it could improve the quality of medical imagery. But the technology could also be used for more unethical means such as art forgeries.
Generative adversarial network (GAN) technology can be used to create both original artwork and forgeries. GANs play two neural networks against each other to create art, with the process mimicking a picture forger and an art detective going back and forth and trying to outwit one another. The first step is creating a generative model of your artwork. This ability to mimic data patterns could be helpful in sectors such as medicine, where it could improve the quality of medical imagery. But the technology could also be used for more unethical means such as art forgeries.