Face Alignment

88 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

3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild

XgTu/2DASL-CNN 22 Mar 2019

3D face reconstruction from a single 2D image is a challenging problem with broad applications.

B-Spline CNNs on Lie Groups

ebekkers/gsplinets ICLR 2020

The impact and potential of our approach is studied on two benchmark datasets: cancer detection in histopathology slides in which rotation equivariance plays a key role and facial landmark localization in which scale equivariance is important.

Heatmap Regression via Randomized Rounding

baoshengyu/H3R 1 Sep 2020

Previous methods to overcome the sub-pixel localization problem usually rely on high-resolution heatmaps.

Pre-training strategies and datasets for facial representation learning

1adrianb/unsupervised-face-representation 30 Mar 2021

Recent work on Deep Learning in the area of face analysis has focused on supervised learning for specific tasks of interest (e. g. face recognition, facial landmark localization etc.)

3D faces in motion: Fully automatic registration and statistical analysis

TimoBolkart/MultilinearModelFitting 24 Jun 2014

The resulting statistical analysis is applied to automatically generate realistic facial animations and to recognize dynamic facial expressions.

Face Alignment Assisted by Head Pose Estimation

pocheck-v2/Pocheck-V2-Beta 11 Jul 2015

In this paper we propose a supervised initialization scheme for cascaded face alignment based on explicit head pose estimation.

A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"

grigorisg9gr/deformable_tracking_review_ijcv2016 18 Mar 2016

Recently, technologies such as face detection, facial landmark localisation and face recognition and verification have matured enough to provide effective and efficient solutions for imagery captured under arbitrary conditions (referred to as "in-the-wild").

Mnemonic Descent Method: A recurrent process applied for end-to-end face alignment

trigeorgis/mdm CVPR 2016

Cascaded regression has recently become the method of choice for solving non-linear least squares problems such as deformable image alignment.

Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge

1adrianb/face-alignment 29 Sep 2016

This paper describes our submission to the 1st 3D Face Alignment in the Wild (3DFAW) Challenge.