36 citations · 42 across the 14 of their papers we have counts for
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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…
cs.CV2023
DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder
Tao Liu, Chenpeng Du, Shuai Fan +2
Generating high-quality and person-generic visual dubbing remains a challenge. Recent innovation has seen the advent of a two-stage paradigm, decoupling the rendering and lip synch…