A team of researchers from Canada and the US has developed a machine learning method to superimpose the catastrophic effects of climate change into real photos...
Researchers in Shanghai and the US have developed a GAN-based portrait generation system that allows users to create novel faces with a hitherto unavailable level of...
Researchers from Carnegie Mellon and MIT have developed a new methodology that allows a user to create custom Generative Adversarial Network (GAN) image-creation systems simply by...
New research from France has proposed a technique to ‘re-identify’ source identities that have contributed to synthetically generated data, such as the GAN-generated ‘non-existent people’ at...
New research out of South Korea promises to improve the quality of synthetic face data created by Generative Adversarial Networks (GANs). The system is capable of...
Generative Adversarial Networks (GANs) are types of neural network architectures capable of generating new data that conforms to learned patterns. GANs can be used to generate...
Recently, a team of researchers from the MIT-IBM Watson AI Lab created a method of displaying what a Generative Adversarial Network leaves out of an image...
