Face Alignment

87 papers with code • 22 benchmarks • 16 datasets

Face alignment is the task of identifying the geometric structure of faces in digital images, and attempting to obtain a canonical alignment of the face based on translation, scale, and rotation.

( Image credit: 3DDFA_V2 )


Use these libraries to find Face Alignment models and implementations

Most implemented papers

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

serengil/deepface 11 Apr 2016

Face detection and alignment in unconstrained environment are challenging due to various poses, illuminations and occlusions.

High-Resolution Representations for Labeling Pixels and Regions

leoxiaobin/deep-high-resolution-net.pytorch 9 Apr 2019

The proposed approach achieves superior results to existing single-model networks on COCO object detection.

Deep High-Resolution Representation Learning for Visual Recognition

open-mmlab/mmdetection 20 Aug 2019

High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection.

PFLD: A Practical Facial Landmark Detector

polarisZhao/PFLD-pytorch 28 Feb 2019

Being accurate, efficient, and compact is essential to a facial landmark detector for practical use.

Fine-Grained Head Pose Estimation Without Keypoints

natanielruiz/deep-head-pose 2 Oct 2017

Estimating the head pose of a person is a crucial problem that has a large amount of applications such as aiding in gaze estimation, modeling attention, fitting 3D models to video and performing face alignment.

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

1adrianb/face-alignment ICCV 2017

To this end, we make the following 5 contributions: (a) we construct, for the first time, a very strong baseline by combining a state-of-the-art architecture for landmark localization with a state-of-the-art residual block, train it on a very large yet synthetically expanded 2D facial landmark dataset and finally evaluate it on all other 2D facial landmark datasets.

Learning a model of facial shape and expression from 4D scans

Rubikplayer/flame-fitting SIGGRAPH Asia 2017

FLAME is low-dimensional but more expressive than the FaceWarehouse model and the Basel Face Model.

Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

protossw512/AdaptiveWingLoss ICCV 2019

Then we propose a novel loss function, named Adaptive Wing loss, that is able to adapt its shape to different types of ground truth heatmap pixels.

Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks

open-mmlab/mmpose CVPR 2018

We present a new loss function, namely Wing loss, for robust facial landmark localisation with Convolutional Neural Networks (CNNs).

FacePoseNet: Making a Case for Landmark-Free Face Alignment

fengju514/Face-Pose-Net 24 Aug 2017

Instead, we compare our FPN with existing methods by evaluating how they affect face recognition accuracy on the IJB-A and IJB-B benchmarks: using the same recognition pipeline, but varying the face alignment method.