Popular GitHub Repositories for Deep Fake

Industry leading face manipulation platform

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

Industry leading face manipulation platform

Live real-time avatars from your webcam in the browser. No dedicated hardware or software installation needed. A pure Google Colab wrapper for live First-order-motion-model, aka Avatarify in the browser. And other Colabs providing an accessible interface for using FOMM, Wav2Lip and Liquid-warping-GAN with your own media and a rich GUI.

Industry leading face manipulation platform

Avatar Generation For Characters and Game Assets Using Deep Fakes

The pytorch implementation of our WACV23 paper "Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis".

lipsync is a simple and updated Python library for lip synchronization, based on Wav2Lip. It synchronizes lips in videos and images based on provided audio, supports CPU/CUDA, and uses caching for faster processing.

Deepstory turns a text/generated text into a video where the character is animated to speak your story using his/her voice.

Swap faces in images and videos. Create face embeddings. Enhance face image quality. Deploy as a web api.

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.

Face Swapping on Image and Video With Deep Fake Methods

Talking Face Generation system

From Gradient Leakage to Adversarial Attacks in Federated Learning

This is an official implementation for "Not with my name! Inferring artists' names of input strings employed by Diffusion Models".

Application that detects the authenticity of audio files developed using the Random Forest Model.

Know Your Customer (KYC) implementation using identity document OCR, face match, biometric liveness detection for Anti-Spoofing and much more

Three face swappers including face enhancement full onnx

Research whose goal is to introduce deep fakes, presenting the state-of-the-art implementations in the area and examples of what such technology is capable of doing.