3 citations · 4 across the 7 of their papers we have counts for
9 papers
SubtleTalk: Generating Controllable Weakly-correlated Facial Dynamics for 3D Talking Heads via Residual Flow Matching
Chenyang Ding, Shuai Tan, Qunfen Lin +3
Audio-driven 3D facial animation aims to synthesize realistic and temporally coherent motions from speech. Despite notable progress in lip synchronization, weakly correlated dynami…
LongCat-Video-Avatar 1.5 Technical Report
Meituan LongCat Team, Xunliang Cai, Meng Cheng +10
Despite advances in audio-driven video generation, achieving commercial-grade stability remains challenging. We present LongCat-Video-Avatar 1.5, an upgraded open-source framework…
ESGaussianFace: Emotional and Stylized Audio-Driven Facial Animation via 3D Gaussian Splatting
Chuhang Ma, Shuai Tan, Ye Pan +2
Most current audio-driven facial animation research primarily focuses on generating videos with neutral emotions. While some studies have addressed the generation of facial videos…
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…
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…
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…
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…
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…
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…