Face Alignment

67 papers with code • 21 benchmarks • 15 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 )

Greatest papers with code

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.

3D Face Alignment Face Alignment +1

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network

YadiraF/PRNet ECCV 2018

We propose a straightforward method that simultaneously reconstructs the 3D facial structure and provides dense alignment.

3D Face Reconstruction Face Alignment +1

Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression

AaronJackson/vrn 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.

3D Face Reconstruction Face Alignment

Towards Fast, Accurate and Stable 3D Dense Face Alignment

cleardusk/3DDFA ECCV 2020

Firstly, on the basis of a lightweight backbone, we propose a meta-joint optimization strategy to dynamically regress a small set of 3DMM parameters, which greatly enhances speed and accuracy simultaneously.

3D FACE MODELING 3D Face Reconstruction +2

Face Alignment in Full Pose Range: A 3D Total Solution

cleardusk/3DDFA 2 Apr 2018

In this paper, we propose to tackle these three challenges in an new alignment framework termed 3D Dense Face Alignment (3DDFA), in which a dense 3D Morphable Model (3DMM) is fitted to the image via Cascaded Convolutional Neural Networks.

3D Pose Estimation Depth Image Estimation +3

Face.evoLVe: A High-Performance Face Recognition Library

ZhaoJ9014/face.evoLVe.PyTorch 19 Jul 2021

In this paper, we develop face. evoLVe -- a comprehensive library that collects and implements a wide range of popular deep learning-based methods for face recognition.

Face Alignment Face Recognition

Look at Boundary: A Boundary-Aware Face Alignment Algorithm

open-mmlab/mmpose CVPR 2018

By utilising boundary information of 300-W dataset, our method achieves 3. 92% mean error with 0. 39% failure rate on COFW dataset, and 1. 25% mean error on AFLW-Full dataset.

Face Alignment Facial Landmark Detection

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).

Data Augmentation Face Alignment