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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 26–50 of 308 papers

TitleStatusHype
SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and ReconstructionCode1
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range ImagingCode1
HIH: Towards More Accurate Face Alignment via Heatmap in HeatmapCode1
Pre-training strategies and datasets for facial representation learningCode1
Weakly-Supervised Multi-Face 3D ReconstructionCode1
Multi-task head pose estimation in-the-wildCode1
img2pose: Face Alignment and Detection via 6DoF, Face Pose EstimationCode1
Deep Structured Prediction for Facial Landmark DetectionCode1
ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different DatasetsCode1
Heatmap Regression via Randomized RoundingCode1
“Look Ma, no landmarks!” – Unsupervised, Model-based Dense Face AlignmentCode1
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry ConsistencyCode1
AnchorFace: An Anchor-based Facial Landmark Detector Across Large PosesCode1
Structured Landmark Detection via Topology-Adapting Deep Graph LearningCode1
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility LikelihoodCode1
JAA-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive AttentionCode1
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the WildCode1
Two-Stream Aural-Visual Affect Analysis in the WildCode1
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal FacesCode1
Deep High-Resolution Representation Learning for Visual RecognitionCode1
Adaptive Wing Loss for Robust Face Alignment via Heatmap RegressionCode1
High-Resolution Representations for Labeling Pixels and RegionsCode1
PFLD: A Practical Facial Landmark DetectorCode1
Stacked Dense U-Nets with Dual Transformers for Robust Face AlignmentCode1
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression NetworkCode1
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