Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …

Generative adversarial networks (GANs) have recently become a hot research topic;
however, they have been studied since 2014, and a large number of algorithms have been …

This paper describes the third Affective Behavior Analysis in-the-wild (ABAW) Competition,
held in conjunction with IEEE International Conference on Computer Vision and Pattern …

Face forgery by deepfake is widely spread over the internet and has raised severe societal
concerns. Recently, how to detect such forgery contents has become a hot research topic …

Generating synthetic datasets for training face recognition models is challenging because
dataset generation entails more than creating high fidelity images. It involves generating …

We propose a neural talking-head video synthesis model and demonstrate its application to
video conferencing. Our model learns to synthesize a talking-head video using a source …

Image animation brings life to the static object in the source image according to the driving
video. Recent works attempt to perform motion transfer on arbitrary objects through …

Image-to-image translation (I2I) aims to transfer images from a source domain to a target
domain while preserving the content representations. I2I has drawn increasing attention and …

Talking face generation has historically struggled to produce head movements and natural
facial expressions without guidance from additional reference videos. Recent developments …

Abstract We present Face Swap** GAN (FSGAN) for face swap** and reenactment.
Unlike previous work, FSGAN is subject agnostic and can be applied to pairs of faces …