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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
On the power of data augmentation for head pose estimationCode1
Heatmap Regression via Randomized RoundingCode1
High-Resolution Representations for Labeling Pixels and RegionsCode1
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility LikelihoodCode1
Structured Landmark Detection via Topology-Adapting Deep Graph LearningCode1
PFLD: A Practical Facial Landmark DetectorCode1
RestorerID: Towards Tuning-Free Face Restoration with ID PreservationCode1
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional NetworksCode1
JAA-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive AttentionCode1
img2pose: Face Alignment and Detection via 6DoF, Face Pose EstimationCode1
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression NetworkCode1
Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution VideosCode1
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal FacesCode1
HonestFace: Towards Honest Face Restoration with One-Step Diffusion ModelCode1
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face AlignmentCode1
Mnemonic Descent Method: A recurrent process applied for end-to-end face alignmentCode1
Multi-task head pose estimation in-the-wildCode1
Deep High-Resolution Representation Learning for Visual RecognitionCode1
ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different DatasetsCode1
AnchorFace: An Anchor-based Facial Landmark Detector Across Large PosesCode1
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the WildCode1
Deep Structured Prediction for Facial Landmark DetectionCode1
ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural RepresentationsCode1
ADNet: Leveraging Error-Bias Towards Normal Direction in Face AlignmentCode1
“Look Ma, no landmarks!” – Unsupervised, Model-based Dense Face AlignmentCode1
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