A new research initiative between the US and China has proposed the use of Generative Adversarial Networks (GANs) to increase the realism of driving simulators. In...
A new study from South Korea has proposed a method to determine whether image synthesis systems are producing genuinely novel images, or ‘minor’ variants on the...
Opinion When Generative Adversarial Networks (GANs) first demonstrated their capability to reproduce stunningly realistic 3D faces, the advent triggered a gold rush for the unmined potential...
New research from UC Berkeley and Adobe offers a way to directly edit the hyperreal content that can be created by a Generative Adversarial Network (GAN),...
Since the golden age of Roman statuary, depicting human hair has been a thorny challenge. The average human head contains 100,000 strands, has varying refractive indices...
A new research collaboration from China offers a novel method of reshaping the human body in images, by the use of a coordinated twin neural encoder...
A new paper from Stanford University has proposed a nascent method for fooling facial authentication systems in platforms such as dating apps, by using a Generative...
It’s not difficult to understand why entanglement is a problem in image synthesis, because it’s often a problem in other areas of life; for instance, it’s...
A joint academic research project from the United States has developed a method to foil CAPTCHA* tests, reportedly outperforming similar state-of-the-art machine learning solutions by using...
2021 has been a year of unprecedented progress and a furious pace-of-publication in the image synthesis sector, offering a stream of new innovations and improvements in...
The problem with inventing human faces with a Generative Adversarial Network (GAN) is that the real-world data that fuels the fake images comes with unwelcome and...
While trying to improve the quality and fidelity of AI-generated images, a group of researchers from China and Australia have inadvertently discovered a method to interactively...
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 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...
