Traditional face editing methods often require a number of sophisticated and task specific
algorithms to be applied one after the other---a process that is tedious, fragile, and …

In this paper, we propose an algorithm for fully automatic neural face swapping in images
and videos. To the best of our knowledge, this is the first method capable of rendering photo …

We present a technique to automatically animate a still portrait, making it possible for the
subject in the photo to come to life and express various emotions. We use a driving video (of …

Portrait editing is a popular subject in photo manipulation. The Generative Adversarial
Network (GAN) advances the generating of realistic faces and allows more face editing. In …

Editing self-image Page 1 70 COMMUNICATIONS OF THE ACM | MARCH 2020 | VOL. 63 |
NO. 3 review articles SELF-PORTRAITURE HAS BECOME ubiquitous. Once an awkward feat …

We present GazeDirector, a new approach for eye gaze redirection that uses model‐fitting.
Our method first tracks the eyes by fitting a multi‐part eye region model to video frames …

In this paper, we propose the first sketching system for interactively personalized and
photorealistic face caricaturing. Input an image of a human face, the users can create …

Detection of facial landmarks and their feature points plays an important role in many facial
image-related applications such as face recognition/verification, facial expression analysis …

Gaze estimation encounters generalization challenges when dealing with out-of-distribution
data. To address this problem, recent methods use neural radiance fields (NeRF) to …

Talking face generation aims at synthesizing coherent and realistic face sequences given an
input speech. The task enjoys a wide spectrum of downstream applications, such as …