Face Analysis Project on MXNet

🔥 2D and 3D Face alignment library build using pytorch

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:jack-yu-business@foxmail.com

Implementations of PCN (an accurate real-time rotation-invariant face detector) and other face-related algorithms

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

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

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

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.

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

A deep neural network for face alignment

Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network

3D face swapping implemented in Python

🔥🔥Several High-Performance Models for Unconstrained/Large-Scale/Low-Shot Face Recognition🔥🔥

A simple face detect and alignment method, which is easy and stable.

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

🐼 One Millisecond Deformable Shape Tracking Library (DEST)

A collection of face related papers

Matlab implementation of facial landmark detection by deep multi-task learning

Face related datasets

Face Alignment by Mobilenetv2

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

Real time face alignment

Training & Inference Code of PRNet in PyTorch 1.1.0

One-shot Learning and deep face recognition notebooks and workshop materials

The MXNet Implementation of Stacked Hourglass and Stacked SAT for Robust 2D and 3D Face Alignment

A TensorFlow implementation of the Mnemonic Descent Method.

Training code for 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.