Face Alignment
98 papers with code • 26 benchmarks • 17 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 )
Benchmarks
These leaderboards are used to track progress in Face Alignment
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Libraries
Use these libraries to find Face Alignment models and implementations
CelebA
300W
Helen
AFW
AFLW
LFPW
AFLW2000-3D
COFW
WFLW
FaceScape
Latest papers
ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment
aliprf/acr-loss
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Heatmap-based Regression (HBR) and Coordinate-based Regression (CBR) are among the two mainly used methods for face alignment.
ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations
mingwuzheng/imface
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CVPR 2022
Precise representations of 3D faces are beneficial to various computer vision and graphics applications.
Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
jiahao-uts/slpt-master
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CVPR 2022
The SLPT generates the representation of each single landmark from a local patch and aggregates them by an adaptive inherent relation based on the attention mechanism.
Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture
zhuccly/glomface-face-alignment
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CVPR 2022
The occlusion problem heavily degrades the localization performance of face alignment.
Reasoning Structural Relation for Occlusion-Robust Facial Landmark Localization
zhuccly/srn
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Moreover, the SRN augments the training data by synthesizing occluded faces.
General Facial Representation Learning in a Visual-Linguistic Manner
FacePerceiver/FaRL
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CVPR 2022
In this paper, we study the transfer performance of pre-trained models on face analysis tasks and introduce a framework, called FaRL, for general Facial Representation Learning in a visual-linguistic manner.
FaceAtlasAR: Atlas of Facial Acupuncture Points in Augmented Reality
Acupuncture is a technique in which practitioners stimulate specific points on the body.
Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
aliprf/kd-loss
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We use two Teacher networks, a Tolerant-Teacher and a Tough-Teacher in conjunction with the Student network.
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
Our synergy process leverages a representation cycle for 3DMM parameters and 3D landmarks.
Fake It Till You Make It: Face analysis in the wild using synthetic data alone
We demonstrate that it is possible to perform face-related computer vision in the wild using synthetic data alone.
