Face Alignment

97 papers with code • 26 benchmarks • 17 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.

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.

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.

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.

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.

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.

ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging

Pea-Shooter/ADNet 22 May 2021

In this paper, we present an attention-guided deformable convolutional network for hand-held multi-frame high dynamic range (HDR) imaging, namely ADNet.

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.

RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild

serengil/deepface CVPR 2020

Though tremendous strides have been made in uncontrolled face detection, accurate and efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open challenge.