When used maliciously, deepfake can pose detrimental implications to political and social
forces including reducing public trust in institutions, damaging the reputation of prominent …

The Generative Models have gained considerable attention in unsupervised learning via a
new and practical framework called Generative Adversarial Networks (GAN) due to their …

Blind face restoration usually relies on facial priors, such as facial geometry prior or
reference prior, to restore realistic and faithful details. However, very low-quality inputs …

While deep face recognition (FR) systems have shown amazing performance in
identification and verification, they also arouse privacy concerns for their excessive …

We look into Generative Adversarial Network (GAN), its prevalent variants and applications
in a number of sectors. GANs combine two neural networks that compete against one …

We present a novel high-resolution face swap** method using the inherent prior
knowledge of a pre-trained GAN model. Although previous research can leverage …

Abstract 'Deepfakes' are computationally created entities that falsely represent reality. They
can take image, video, and audio modalities, and pose a threat to many areas of systems …

Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …

In this paper, we address the makeup transfer task, which aims to transfer the makeup from a
reference image to a source image. Existing methods have achieved promising progress in …

Recently we have witnessed the explosive growth of various volumetric representations in
modeling animatable head avatars. However due to the diversity of frameworks there is no …