NYU research combines subject and age sets to improve aged-face imaging

Biometrics researchers in the U.S. have managed to preserve genuine facial identifiers while aging images of people's faces.

A team working at New York University's Tandon engineering school say they have developed a latent diffusion model that knows how to pull off the task. Code like that could help identify people who have been missing for years or more realistically augment actors' faces in movies. In theory, it could also be used to spoof remote facial age estimation systems.

This …

age aging biometric identifiers biometric r&d biometrics biometrics news biometrics research code engineering face biometrics facial images imaging managed new york new york university nyu people research researchers school spoofing task team university working