[CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning

Wav2Lip UHQ extension for Automatic1111

[CVPR 2024] This is the official source for our paper "SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis"

CVPR2023 talking face implementation for Identity-Preserving Talking Face Generation With Landmark and Appearance Priors

PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)

A curated list of resources of audio-driven talking face generation

Using a single image and just 10 seconds of sample audio, our project enables you to create a video where it appears as if you're speaking the desired text.

Use one line code to call SadTalker API with modelscope

Using a single image and just 10 seconds of sample audio, our project enables you to create a video where it appears as if you're speaking the desired text.

JoyHallo: Digital human model for Mandarin

[ECCV 2024] Dyadic Interaction Modeling for Social Behavior Generation

One-shot Audio-driven 3D Talking Head Synthesis via Generative Prior, CVPRW 2024

[ECCV 2024] ScanTalk: 3D Talking Heads from Unregistered Scans

DoyenTalker uses deep learning techniques to generate personalized avatar videos that speak user-provided text in a specified voice. The system utilizes Coqui TTS for text-to-speech generation, along with various face rendering and animation techniques to create a video where the given avatar articulates the speech.