Browse State-of-the-Art › Head Pose Estimation
Head Pose Estimation
55 papers with code · 10 benchmarks · 11 datasets archive 2025-07-28
Сделай так, что бы оба человека на фотографии смотрели в центр экрана телефона
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
10 leaderboard tables shown for this task, 10 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
11 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 55 papers with code (130 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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2 Oct 2017 14 repositories listed Syntology ran 3 of 3 samples · 0 unverifiedEstimating 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.
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21 Mar 2017 8 repositories listed Syntology ran 4 of 15 samples · 11 unverifiedTo this end, we make the following 5 contributions: (a) we construct, for the first time, a very strong baseline by combining a state-of-the-art architecture for landmark localization with a state-of-the-art residual…
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19 Oct 2021 4 repositories listedOur synergy process leverages a representation cycle for 3DMM parameters and 3D landmarks.
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20 May 2020 4 repositories listedThe resulting Wide Headpose Estimation Network (WHENet) is the first fine-grained modern method applicable to the full-range of head yaws (hence wide) yet also meets or beats state-of-the-art methods for frontal head…
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3 Dec 2021 3 repositories listedHowever, with the tremendous increase in images and videos with variations in face scale, appearance, expression, occlusion and pose, traditional face detectors are challenged to detect various "in the wild" faces.
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19 Mar 2024 2 repositories listedIn this work, we introduce FaceXFormer, an end-to-end unified transformer model capable of performing nine facial analysis tasks including face parsing, landmark detection, head pose estimation, attribute prediction,…
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14 Sep 2023 2 repositories listedTogether with new accumulated training data that provides full head pose rotation data and a geodesic loss approach for stable learning, we design an advanced model that is able to predict an extended range of head…
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25 Feb 2022 2 repositories listed Syntology ran 5 of 8 samples · 3 unverified · 3 pointer-only (licence)In this paper, we present a method for unconstrained end-to-end head pose estimation.
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21 Oct 2021 2 repositories listedVery often, the pose is estimated after the face detection.
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14 Dec 2020 2 repositories listedTests on AFLW2000-3D and BIWI show that our method runs at real-time and outperforms state of the art (SotA) face pose estimators.
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26 Sep 2019 2 repositories listedIn our proposed approach, we create an energy-based model of the conditional target density p(y|x), using a deep neural network to predict the un-normalized density from (x, y).
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6 Nov 2016 2 repositories listedHowever, it is difficult to collect sufficient training images with precise labels in some domains such as apparent age estimation, head pose estimation, multi-label classification and semantic segmentation.
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13 Dec 2024 1 repository listedThis work presents the IMPROVE dataset, a multimodal resource designed to evaluate the effects of mobile phone usage on learners during online education.
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3 Dec 2024 1 repository listedThis architecture allows for the effective handling of features across different scales, enhancing the model's ability to perform tasks such as human pose estimation, head pose estimation, and more with low-resolution…
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12 Sep 2024 1 repository listedTo the best of our knowledge, this is the first paper that aims to survey HPE strategies based on artificial intelligence, with detailed explanations of the main steps to implement each method.
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3 Sep 2024 1 repository listedHead pose estimation (HPE) is a crucial problem in computer vision, as it significantly enhances the performance of face-related tasks involving a frontal view.
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19 Jul 2024 1 repository listedThis study addresses the nuanced challenge of estimating head translations within the context of six-degrees-of-freedom (6DoF) head pose estimation, placing emphasis on this aspect over the more commonly studied head…
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7 Jul 2024 1 repository listedDeep learning has been impressively successful in the last decade in predicting human head poses from monocular images.
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3 Apr 2024 1 repository listedTo alleviate it, we propose the first semi-supervised unconstrained head pose estimation method SemiUHPE, which can leverage abundant easily available unlabeled head images.
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11 Jan 2024 1 repository listedWe also propose a generalization of the geodesic angular distance metric that enables the construction of a loss that controls the contribution of each training sample to the optimization of the model.
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23 Nov 2023 1 repository listedHuman eye gaze estimation is an important cognitive ingredient for successful human-robot interaction, enabling the robot to read and predict human behavior.
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10 Nov 2023 1 repository listedHead orientation is a challenging Computer Vision problem that has been extensively researched having a wide variety of applications.
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7 Nov 2023 1 repository listedThis study presents a framework designed to estimate a head pose without landmark localization.
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19 May 2023 1 repository listedThanks to the proposed fusion module, our method is robust not only to occlusion and large pitch and roll view angles, which is the benefit of our image space approach, but also to noise and large yaw angles, which is…
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2 Feb 2023 1 repository listedWe present comprehensive comparisons with state-of-the-art single HPE methods on public benchmarks, as well as superior baseline results on our constructed MPHPE datasets.
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19 Jan 2023 1 repository listedWe propose a strategy to exploit the relative pose introduced by pose-altering augmentations between augmented image pairs, to allow the network to benefit from relative pose labels during training on unlabeled data.
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1 Jan 2023 1 repository listedTo leverage the observed findings, we propose a novel critical minority relationship-aware method based on the Transformer architecture in which the facial part relationships can be learned.
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9 Dec 2022 1 repository listed Syntology ran 2 of 14 samples · 12 unverifiedIn addition, collecting large-scale, high-quality datasets with paired egocentric videos and 3D human motions requires accurate motion capture devices, which often limit the variety of scenes in the videos to lab-like…
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24 Nov 2022 1 repository listedSelf-supervised facial representation has recently attracted increasing attention due to its ability to perform face understanding without relying on large-scale annotated datasets heavily.
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13 Oct 2022 1 repository listedTop-performing landmark estimation algorithms are based on exploiting the excellent ability of large convolutional neural networks (CNNs) to represent local appearance.
Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections