Unfair behaviors of Machine Learning (ML) software have garnered increasing attention and
concern among software engineers. To tackle this issue, extensive research has been …

The use of artificial intelligence (AI) in a variety of research fields is speeding up multiple
digital revolutions, from shifting paradigms in healthcare, precision medicine and wearable …

Recently, numerous facial editing techniques have been proposed that leverage the
generative power of a pretrained StyleGAN. To successfully edit an image this way, one …

The inversion of real images into StyleGAN's latent space is a well-studied problem.
Nevertheless, applying existing approaches to real-world scenarios remains an open …

Recently, there has been a surge of diverse methods for performing image editing by
employing pre-trained unconditional generators. Applying these methods on real images …

Recently, the power of unconditional image synthesis has significantly advanced through
the use of Generative Adversarial Networks (GANs). The task of inverting an image into its …

We present a generic image-to-image translation framework, pixel2style2pixel (pSp). Our
pSp framework is based on a novel encoder network that directly generates a series of style …

Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …

We introduce MyStyle, a personalized deep generative prior trained with a few shots of an
individual. MyStyle allows to reconstruct, enhance and edit images of a specific person, such …

Recognition of expressions of emotions and affect from facial images is a well-studied
research problem in the fields of affective computing and computer vision with a large …