3 papers
cs.CV2025
IMTalker: Efficient Audio-driven Talking Face Generation with Implicit Motion Transfer
Bo Chen, Tao Liu, Qi Chen +2
Talking face generation aims to synthesize realistic speaking portraits from a single image, yet existing methods often rely on explicit optical flow and local warping, which fail…
cs.CV2024
VQTalker: Towards Multilingual Talking Avatars through Facial Motion Tokenization
Tao Liu, Ziyang Ma, Qi Chen +4
We present VQTalker, a Vector Quantization-based framework for multilingual talking head generation that addresses the challenges of lip synchronization and natural motion across d…
cs.CV2024
AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding
Tao Liu, Feilong Chen, Shuai Fan +4
The paper introduces AniTalker, an innovative framework designed to generate lifelike talking faces from a single portrait. Unlike existing models that primarily focus on verbal cu…