SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

Introduction:SadTalker is a cutting-edge technology developed by researchers from Xi'an Jiaotong University, Tencent AI Lab, and Ant Group. It aims to address the challenges of generating talking head videos from a single face image and speech audio, such as unnatural head movement, distorted expressions, and identity modification. SadTalker generates 3D motion coefficients (head pose, expression) from audio and implicitly modulates a novel 3D-aware face render for talking head generation. The technology has been presented at CVPR 2023.

Add on:5/29/2024

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Category::Video 3D

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What is SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation?

What is SadTalker? SadTalker is a technology that generates realistic 3D motion coefficients for stylized audio-driven single image talking face animation, solving issues like unnatural head movement, distorted expressions, and identity modification.

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation's Use Case?

Use cases for SadTalker include generating talking head videos in different languages, singing in different languages, controllable eye blinking, and comparisons on various datasets.

Applicable people for SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation?

The audience for SadTalker includes researchers, developers, and professionals in the fields of computer vision, artificial intelligence, and animation.

Is SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation free?

The information about whether SadTalker is free or not is not provided in the given context.

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SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

SadTalker is a cutting-edge technology developed by researchers from Xi'an Jiaotong University, Tencent AI Lab, and Ant Group. It aims to address the challenges of generating talking head videos from a single face image and speech audio, such as unnatural head movement, distorted expressions, and identity modification. SadTalker generates 3D motion coefficients (head pose, expression) from audio and implicitly modulates a novel 3D-aware face render for talking head generation. The technology has been presented at CVPR 2023.

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