Image and video data analysis has become an increasingly important research area with
applications in different domains such as security surveillance, healthcare, augmented and …

Generating talking head videos through a face image and a piece of speech audio still
contains many challenges. ie, unnatural head movement, distorted expression, and identity …

In this work, we tackle the challenge of enhancing the realism and expressiveness in talking
head video generation by focusing on the dynamic and nuanced relationship between audio …

One-shot talking face generation aims at synthesizing a high-quality talking face video from
an arbitrary portrait image, driven by a video or an audio segment. In this work, we provide a …

Generating portrait images by controlling the motions of existing faces is an important task of
great consequence to social media industries. For easy use and intuitive control …

Despite previous success in generating audio-driven talking heads, most of the previous
studies focus on the correlation between speech content and the mouth shape. Facial …

In this paper, we propose a talking face generation method that takes an audio signal as
input and a short target video clip as reference, and synthesizes a photo-realistic video of …

While recent advances in deep neural networks have made it possible to render high-quality
images, generating photo-realistic and personalized talking head remains challenging. With …

In many applications of computer graphics, art, and design, it is desirable for a user to
provide intuitive non-image input, such as text, sketch, stroke, graph, or layout, and have a …

We present VideoReTalking, a new system to edit the faces of a real-world talking head
video according to input audio, producing a high-quality and lip-syncing output video even …