[CVPR 2023] SadTalker:Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
-
Updated
Jun 26, 2024 - Python
[CVPR 2023] SadTalker:Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
[CVPR 2025] EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
[AAAI 2025] EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning
[ICLR 26 Oral] Stable Video Infinity: Infinite-Length Video Generation with Error Recycling
[CVPR 2024] This is the official source for our paper "SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis"
Wav2Lip UHQ extension for Automatic1111
Diffusion-based Portrait and Animal Animation
CVPR2023 talking face implementation for Identity-Preserving Talking Face Generation With Landmark and Appearance Priors
Wav2Lip version 288 and pipeline to train
JoyHallo: Digital human model for Mandarin
PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)
[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
Use one line code to call SadTalker API with modelscope
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.
A ComfyUI extension for DashScope(Qwen Series API)
Style-Talking is a zero-shot audio-driven digital human system for cloning speaking style from a reference video.
Portable desktop UI for advanced Wav2Lip lip-sync workflows on Windows. Beautiful interface, face selection, tracking, timeline editing, job queue, ultra-quality presets, and local inference.
To associate your repository with the audio-driven-talking-face topic, visit your repo's landing page and select "manage topics."