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Talking face generation has a wide range of potential applications in the field of virtual digital humans. However, rendering high-fidelity facial video while ensuring lip synchronization remains challenging for existing audio-driven talking face ...

Talking face generation aims to create realistic videos with accurate lip synchronization and high visual quality, using given audio and reference video while preserving identity and visual characteristics. In this paper, we start by identifying ...

In this work, we investigate the problem of synthesizing a talking face video which should be synchronized with a target speech segment. Although there has been significant progress on this task, the most successful approaches are still those that ...

In this paper, we present TellMeTalk, an innovative approach for generating expressive talking face videos based on multimodal inputs. Our approach demonstrates robustness across various identities, languages, expressions, and head movements. It ...

Talking face generation is widely used in education, entertainment, shopping, and other social practices. Existing methods focus on matching the speaker’s mouth shape with the speech content. Still, there is a lack of research on automatically ...

The key of talking face generation is to synthesize the identity-preserving natural facial expressions with accurate audio-lip synchronization. To accomplish this, it requires to disentangle and fuse the latent features from multiple ...

Recently, talking face generation has drawn considerable attention of researchers due to its wide applications. The lip synchronization accuracy and visual quality of the generated target speaker are very crucial for synthesizing photo-realistic ...

Talking-face generation is an interesting and challenging problem in computer vision and has become a research focus. This project aims to generate real talking-face video sequences, especially lip synchronization and head motion. In order to create a ...