Head Pose Estimation
48 papers with code • 9 benchmarks • 10 datasets
Estimating the head pose of a person is a crucial problem that has a large amount of applications such as aiding in gaze estimation, modeling attention, fitting 3D models to video and performing face alignment.
( Image credit: FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image )
Benchmarks
These leaderboards are used to track progress in Head Pose Estimation
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Libraries
Use these libraries to find Head Pose Estimation models and implementations
AFLW
AFLW2000-3D
Panoptic
COFW
WFLW
BIWI
Biwi Kinect Head Pose
HPD
Most implemented papers
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
vitoralbiero/img2pose
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CVPR 2021
Tests on AFLW2000-3D and BIWI show that our method runs at real-time and outperforms state of the art (SotA) face pose estimators.
Multi-task head pose estimation in-the-wild
bobetocalo/bobetocalo_pami20
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We contribute with a network architecture and training strategy that harness the strong dependencies among face pose, alignment and visibility, to produce a top performing model for all three tasks.
ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation
aliprf/ASMNet
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We compare the performance of our proposed model called ASMNet with MobileNetV2 (which is about 2 times bigger than ASMNet) in both the face alignment and pose estimation tasks.
SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
MCG-NJU/SADRNet
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Three-dimensional face dense alignment and reconstruction in the wild is a challenging problem as partial facial information is commonly missing in occluded and large pose face images.
CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head Redirection
However, adopting such generative models to new domains while maintaining their ability to provide fine-grained control over different image attributes, \eg, gaze and head pose directions, has been a challenging problem.
MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation
lyp-deeplearning/mos-multi-task-face-detect
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Very often, the pose is estimated after the face detection.
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty
In this paper we introduce a novel method to estimate the head pose of people in single images starting from a small set of head keypoints.
Simultaneous face detection and 360 degree headpose estimation
khai9xht/Multitask_head_pose
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To increase the ability to predict the head direction of the model, we change there presentation of the human face from the Euler angle to vectors of the Rotation matrix.
Self-Paced Deep Regression Forests with Consideration of Ranking Fairness
To answer this question, this paper proposes a new SPL method: easy and underrepresented examples first, for learning DDMs.
LwPosr: Lightweight Efficient Fine-Grained Head Pose Estimation
This paper presents a lightweight network for head pose estimation (HPE) task.
