Artificial Intelligence Generated Content (AIGC) is leading a new technical revolution for the
acquisition of digital content and impelling the progress of visual compression towards …

Generative Face Video Coding (GFVC) techniques can exploit the compact representation
of facial priors and the strong inference capability of deep generative models, achieving high …

In this paper, we propose to compactly represent the nonlinear dynamics along the temporal
trajectories for talking face video compression. By projecting the frames into a high …

In this paper, we propose a novel framework for Interactive Face Video Coding (IFVC), which
allows humans to interact with the intrinsic visual representations instead of the signals. The …

Generative face video coding (GFVC) can achieve high-quality visual face communication at
ultra-low bit-rate ranges via strong facial prior learning and realistic generation. However …

Face videos own abundant structured information and prior knowledge which can be utilized
by generative neural networks to achieve ultra-low bitrate compression. However …

We address the problem of efficiently compressing video for conferencing-type applications.
We build on recent approaches based on image animation, which can achieve good …

We propose a novel face compression framework that leverages the external priors for joint
human and machine perception under ultra-low bitrate scenarios. The proposed framework …

Recent years have witnessed an exponential increase in the demand for face video
compression, and the success of artificial intelligence has expanded the boundaries beyond …

This paper provides a survey of the latest developments in visual signal coding and
processing with generative models. Specifically, our focus is on presenting the advancement …