canvas-based talking head model using viseme data

Add socket.io to send message from python client

Landmark driven talking head generatio using an img2img diffusion model

Ukrainian alternative of Talking Ben

Animated Characters: create video from plain text or audio file in minutes, support up to 100+ languages and 350+ voice models.

Talking Avatar: create video from plain text or audio file in minutes, support up to 100+ languages and 350+ voice models.

The official code and demo for Gaussian-Dejavu (WACV2025).

Unofficial One-click Version of LivePortrait, with Webcam Support

The Video Conferencing Dataset (VCD) to evaluate video codecs for video conferencing.

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.

AI Avatar/Anchor: create video from plain text or audio file in minutes, support up to 100+ languages and 350+ voice models.

Papers, Datasets, Benchmarks for 3D Face (Reconstruction, Talking head, etc)

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

AI Talking Head: create video from plain text or audio file in minutes, support up to 100+ languages and 350+ voice models.

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

canvas-based talking head model using viseme data

[CVPR 2024] FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models

Use one line code to call SadTalker API with modelscope

Zippy Talking Avatar uses Azure Cognitive Services and OpenAI API to generate text and speech. It is built with Next.js and Tailwind CSS. This avatar responds to user input by generating both text and speech, offering a dynamic and immersive user experience