Popular GitHub Repositories for Facial Reenactment

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Leading free and open-source face recognition system

?? Windows Hello? style facial authentication for Linux

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.

TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

pix2pix demo that learns from facial landmarks and translates this into a face

Unified UI and API for processing and training images for facial recognition.

Realtime human head pose estimation with ONNXRuntime and OpenCV.

TensorFlow 101: Introduction to Deep Learning

? High-performance TensorFlow Lite library for React Native with GPU acceleration

Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.

A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)