Face Alignment
99 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 )
Benchmarks
These leaderboards are used to track progress in Face Alignment
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Libraries
Use these libraries to find Face Alignment models and implementations
CelebA
300W
Helen
AFW
AFLW
LFPW
AFLW2000-3D
COFW
WFLW
FaceScape
Most implemented papers
General Facial Representation Learning in a Visual-Linguistic Manner
FacePerceiver/FaRL
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CVPR 2022
In this paper, we study the transfer performance of pre-trained models on face analysis tasks and introduce a framework, called FaRL, for general Facial Representation Learning in a visual-linguistic manner.
ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations
mingwuzheng/imface
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CVPR 2022
Precise representations of 3D faces are beneficial to various computer vision and graphics applications.
3D faces in motion: Fully automatic registration and statistical analysis
The resulting statistical analysis is applied to automatically generate realistic facial animations and to recognize dynamic facial expressions.
Face alignment by coarse-to-fine shape searching
We present a novel face alignment framework based on coarse-to-fine shape searching.
Face Alignment Assisted by Head Pose Estimation
pocheck-v2/Pocheck-V2-Beta
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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
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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
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
This paper describes our submission to the 1st 3D Face Alignment in the Wild (3DFAW) Challenge.
An All-In-One Convolutional Neural Network for Face Analysis
The proposed method employs a multi-task learning framework that regularizes the shared parameters of CNN and builds a synergy among different domains and tasks.
Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression
AaronJackson/vrn
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ICCV 2017
Our CNN works with just a single 2D facial image, does not require accurate alignment nor establishes dense correspondence between images, works for arbitrary facial poses and expressions, and can be used to reconstruct the whole 3D facial geometry (including the non-visible parts of the face) bypassing the construction (during training) and fitting (during testing) of a 3D Morphable Model.
