Generating talking face videos from audio attracts lots of research interest. A few person-
specific methods can generate vivid videos but require the target speaker's videos for …

Audio-driven talking-head synthesis is a popular research topic for virtual human-related
applications. However, the inflexibility and inefficiency of existing methods, which …

Deepfake is a technology dedicated to creating highly realistic facial images and videos
under specific conditions, which has significant application potential in fields such as …

Recent research on one-shot face re-enactment has progressively overcome the low-
resolution constraint with the help of StyleGAN's high-fidelity portrait generation. However …

We introduce a new conversation head generation benchmark for synthesizing behaviors of
a single interlocutor in a face-to-face conversation. The capability to automatically …

We tackle the challenging problems of 3D facial capture, head pose and gaze estimation.
We do so by extending MocapNET, a highly effective deep learning motion capture …

Generative DNNs are a powerful tool for image synthesis, but they are limited by their
computational load. On the other hand, given a trained model and a task, eg faces …

Among the sectors that deep learning has transformed, deepfake, a novel method of
manipulating multimedia, deserves particular attention. The long‐term objective of many …

Video conferencing has become indispensable in human communication. Researchers are
exploring immersive capabilities to enhance video conferencing experiences by delivering …

Eye tracking have garnered attention in human–machine interaction, disease monitoring,
biometrics, etc. Existing investigations for eye tracking have predominantly concentrated on …