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Face Alignment

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 )

Papers

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Showing 151–200 of 308 papers

TitleStatusHype
Grand Challenge of 106-Point Facial Landmark Localization—0
Simultaneous regression and feature learning for facial landmarking—0
FoxNet: A Multi-face Alignment MethodCode0
Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the WildCode0
Adaptive Wing Loss for Robust Face Alignment via Heatmap RegressionCode1
3D Dense Face Alignment via Graph Convolution Networks—0
High-Resolution Representations for Labeling Pixels and RegionsCode1
DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild—0
Laplace Landmark Localization—0
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection—0
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the WildCode0
PFLD: A Practical Facial Landmark DetectorCode1
Joint Face Detection and Facial Motion Retargeting for Multiple Faces—0
Face Alignment using a 3D Deeply-initialized Ensemble of Regression TreesCode0
Hybrid coarse-fine classification for head pose estimationCode0
Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning—0
Stacked Dense U-Nets with Dual Transformers for Robust Face AlignmentCode1
Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture—0
Towards Highly Accurate and Stable Face Alignment for High-Resolution VideosCode0
A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face AlignmentCode0
On Learning 3D Face Morphable Model from In-the-wild ImagesCode0
Hierarchical binary CNNs for landmark localization with limited resourcesCode0
Quantized Densely Connected U-Nets for Efficient Landmark LocalizationCode0
Deep Multi-Center Learning for Face AlignmentCode0
Generating 3D faces using Convolutional Mesh AutoencodersCode0
Making Convolutional Networks Recurrent for Visual Sequence Learning—0
Direct Shape Regression Networks for End-to-End Face Alignment—0
Look at Boundary: A Boundary-Aware Face Alignment AlgorithmCode0
Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization—0
Multi-task Learning of Cascaded CNN for Facial Attribute Classification—0
Nonlinear 3D Face Morphable ModelCode0
Face Alignment in Full Pose Range: A 3D Total SolutionCode2
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression NetworkCode1
Facial Landmarks Detection by Self-Iterative Regression based Landmarks-Attention Network—0
Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment—0
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face AlignmentCode0
Style Aggregated Network for Facial Landmark DetectionCode0
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild—0
Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition—0
Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment—0
Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of PatchesCode0
An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation—0
HoloFace: Augmenting Human-to-Human Interactions on HoloLensCode0
Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization—0
RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment—0
Multi-Attribute Robust Component Analysis for Facial UV Maps—0
UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition—0
Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs—0
FSRNet: End-to-End Learning Face Super-Resolution with Facial PriorsCode0
Self-Reinforced Cascaded Regression for Face Alignment—0
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