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:[email protected]

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

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

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

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

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

3D face swapping implemented in Python

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

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.

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

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

🐼 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

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.

A TensorFlow implementation of the Mnemonic Descent Method.