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 …

Recently, more and more images are compressed and sent to the back-end devices for
machine analysis tasks (eg, object detection) instead of being purely watched by humans …

Current talking face generation methods have achieved promising lip-synchronization
results, while still struggling to generate talking face video that exhibits emotional …

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 …

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 …

Conditional coding is a new video coding paradigm enabled by neural-network-based
compression. It can be shown that conditional coding is in theory better than the traditional …

How to compress face video is a crucial problem for a series of online applications, such as
video chat/conference, live broadcasting and remote education. Compared to other natural …

Talking head generation, aiming to create photo-realistic videos from a single reference
image and audio input, has emerged as a vibrant area of interest within the computer vision …

Low-light images often suffer from varying degrees of visual degradation. Current methods
for recovering image texture details fail to rely on the self-adaptive correlation texture …