515 citations · 1.2k across the 46 of their papers we have counts for
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VAST: Vivify Your Talking Avatar via Zero-Shot Expressive Facial Style Transfer
Liyang Chen, Zhiyong Wu, Runnan Li +4
Current talking face generation methods mainly focus on speech-lip synchronization. However, insufficient investigation on the facial talking style leads to a lifeless and monotono…
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder
Chenpeng Du, Qi Chen, Tianyu He +5
While recent research has made significant progress in speech-driven talking face generation, the quality of the generated video still lags behind that of real recordings. One reas…
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
Zenghao Chai, Tianke Zhang, Tianyu He +7
3D Morphable Models (3DMMs) demonstrate great potential for reconstructing faithful and animatable 3D facial surfaces from a single image. The facial surface is influenced by the c…
Memories are One-to-Many Mapping Alleviators in Talking Face Generation
Anni Tang, Tianyu He, Xu Tan +2
Talking face generation aims at generating photo-realistic video portraits of a target person driven by input audio. Due to its nature of one-to-many mapping from the input audio t…
StableFace: Analyzing and Improving Motion Stability for Talking Face Generation
Jun Ling, Xu Tan, Liyang Chen +4
While previous speech-driven talking face generation methods have made significant progress in improving the visual quality and lip-sync quality of the synthesized videos, they pay…