most citedEDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis

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cs.CV2025

EDTalk++: Full Disentanglement for Controllable Talking Head Synthesis

Shuai Tan, Bin Ji

Achieving disentangled control over multiple facial motions and accommodating diverse input modalities greatly enhances the application and entertainment of the talking head genera…

cs.CV2025

FixTalk: Taming Identity Leakage for High-Quality Talking Head Generation in Extreme Cases

Shuai Tan, Bill Gong, Bin Ji +1

Talking head generation is gaining significant importance across various domains, with a growing demand for high-quality rendering. However, existing methods often suffer from iden…

cs.CV2024

FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization

Shuai Tan, Bin Ji, Ye Pan

Generating emotional talking faces is a practical yet challenging endeavor. To create a lifelike avatar, we draw upon two critical insights from a human perspective: 1) The connect…

cs.CV20241 cited

EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis

Shuai Tan, Bin Ji, Mengxiao Bi +1

Achieving disentangled control over multiple facial motions and accommodating diverse input modalities greatly enhances the application and entertainment of the talking head genera…

cs.CV2024

Say Anything with Any Style

Shuai Tan, Bin Ji, Yu Ding +1

Generating stylized talking head with diverse head motions is crucial for achieving natural-looking videos but still remains challenging. Previous works either adopt a regressive m…

cs.CV2024

Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style

Shuai Tan, Bin Ji, Ye Pan

Although automatically animating audio-driven talking heads has recently received growing interest, previous efforts have mainly concentrated on achieving lip synchronization with…