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title
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
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SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
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SadTalker SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation Wenxuan Zhang *,1,2 Xiaodong Cun *,2 Xuan Wang 3 Yong Zhang 2 Xi Shen 2 Yu Guo 1 Ying Shan 2 Fei Wang 1 1 Xi'an Jiaotong University 2 Tencent AI Lab 3 Ant Group CVPR 2023 * Indicates Equal Contribution Paper Code 🤗 Demo (Hugging Face Space) 🧿 Demo (Colab) Abstract Generating talking head videos through a face image and a piece of speech audio still contains many challenges. ie, unnatural head movement, distorted expression, and identity modification. We argue that these issues are mainly because of learning from the coupled 2D motion fields. On the other hand, explicitly using 3D information also suffers problems of stiff expression and incoherent video. We present SadTalker, which generates 3D motion...
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