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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

Showing 151175 of 308 papers

TitleStatusHype
Grand Challenge of 106-Point Facial Landmark Localization0
Simultaneous regression and feature learning for facial landmarking0
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 Networks0
High-Resolution Representations for Labeling Pixels and RegionsCode1
DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild0
Laplace Landmark Localization0
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection0
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 Faces0
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 Learning0
Stacked Dense U-Nets with Dual Transformers for Robust Face AlignmentCode1
Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture0
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 resources0
Quantized Densely Connected U-Nets for Efficient Landmark LocalizationCode0
Deep Multi-Center Learning for Face AlignmentCode0
Generating 3D faces using Convolutional Mesh AutoencodersCode0
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