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),...
While the professional VFX community is intrigued – and occasionally feels a little threatened – by new innovations in image and video synthesis, the lack of...
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 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...
