Browse State-of-the-Art › Multi-Person Pose Estimation
Multi-Person Pose Estimation
89 papers with code · 13 benchmarks · 7 datasets archive 2025-07-28
Multi-person pose estimation is the task of estimating the pose of multiple people in one frame.
( Image credit: Human Pose Estimation with TensorFlow )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
13 leaderboard tables shown for this task, 13 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. 10 shown of 13 until expanded.
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
7 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 89 papers with code (151 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.
-
20 Mar 2017 179 repositories listed Syntology ran 42 of 140 samples · 98 unverified · 23 pointer-only (licence)Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.
-
24 Nov 2016 61 repositories listed Syntology ran 4 of 23 samples · 19 unverified · 4 pointer-only (licence)We present an approach to efficiently detect the 2D pose of multiple people in an image.
-
18 Dec 2018 51 repositories listed Syntology ran 3 of 16 samples · 13 unverified · 2 pointer-only (licence)OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
-
25 Feb 2019 39 repositories listed Syntology ran 8 of 25 samples · 17 unverifiedWe start from a high-resolution subnetwork as the first stage, gradually add high-to-low resolution subnetworks one by one to form more stages, and connect the mutli-resolution subnetworks in parallel.
-
17 Apr 2018 27 repositories listedThere has been significant progress on pose estimation and increasing interests on pose tracking in recent years.
-
27 Aug 2019 19 repositories listed Syntology ran 5 of 27 samples · 22 unverifiedHigherHRNet even surpasses all top-down methods on CrowdPose test (67.
-
10 May 2016 16 repositories listedThe goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people.
-
5 Dec 2016 14 repositories listed Syntology ran 1 of 29 samples · 28 unverified · 2 pointer-only (licence)In this paper we propose an approach for articulated tracking of multiple people in unconstrained videos.
-
1 Dec 2016 14 repositories listedIn this paper, we propose a novel regional multi-person pose estimation (RMPE) framework to facilitate pose estimation in the presence of inaccurate human bounding boxes.
-
29 Nov 2018 10 repositories listedIn this work we adapt multi-person pose estimation architecture to use it on edge devices.
-
18 Nov 2019 9 repositories listedWe propose the first direct end-to-end multi-person pose estimation framework, termed DirectPose.
-
7 Nov 2022 8 repositories listedAccurate whole-body multi-person pose estimation and tracking is an important yet challenging topic in computer vision.
-
24 Nov 2019 8 repositories listedWe rethink a well-know bottom-up approach for multi-person pose estimation and propose an improved one.
-
3 Mar 2021 6 repositories listedWe present a generic neural network architecture that uses Composite Fields to detect and construct a spatio-temporal pose which is a single, connected graph whose nodes are the semantic keypoints (e.
-
14 Oct 2019 6 repositories listed Syntology ran 5 of 9 samples · 4 unverifiedInterestingly, we found that the process of decoding the predicted heatmaps into the final joint coordinates in the original image space is surprisingly significant for human pose estimation performance, which…
-
20 Nov 2017 5 repositories listedIn this paper, we present a novel network structure called Cascaded Pyramid Network (CPN) which targets to relieve the problem from these "hard" keypoints.
-
16 Nov 2016 5 repositories listed Syntology ran 0 of 8 samples · 8 unverifiedWe introduce associative embedding, a novel method for supervising convolutional neural networks for the task of detection and grouping.
-
23 Jul 2021 4 repositories listed Syntology ran 2 of 11 samples · 9 unverified · 2 pointer-only (licence)In light of this, we propose a novel regression paradigm with Residual Log-likelihood Estimation (RLE) to capture the underlying output distribution.
-
9 Mar 2020 4 repositories listed Syntology ran 2 of 3 samples · 1 unverifiedTo tackle this problem, we propose an efficient attention mechanism - Pose Refine Machine (PRM) to make a trade-off between local and global representations in output features and further refine the keypoint locations.
-
26 Jul 2019 4 repositories listed Syntology ran 1 of 7 samples · 6 unverifiedAlthough significant improvement has been achieved recently in 3D human pose estimation, most of the previous methods only treat a single-person case.
-
2 Dec 2018 4 repositories listedIn this paper, we propose a novel and efficient method to tackle the problem of pose estimation in the crowd and a new dataset to better evaluate algorithms.
-
11 Jul 2018 4 repositories listedIn this paper, we present MultiPoseNet, a novel bottom-up multi-person pose estimation architecture that combines a multi-task model with a novel assignment method.
-
20 Nov 2015 4 repositories listedThis paper considers the task of articulated human pose estimation of multiple people in real world images.
-
3 Feb 2023 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)This paper presents a novel end-to-end framework with Explicit box Detection for multi-person Pose estimation, called ED-Pose, where it unifies the contextual learning between human-level (global) and keypoint-level…
-
29 May 2021 3 repositories listedWe propose a fully convolutional multi-person pose estimation framework using dynamic instance-aware convolutions, termed FCPose.
-
6 Jun 2019 3 repositories listedTo reduce the need for dense annotations, we propose a PoseWarper network that leverages training videos with sparse annotations (every k frames) to learn to perform dense temporal pose propagation and estimation.
-
22 Mar 2018 3 repositories listedWe present a box-free bottom-up approach for the tasks of pose estimation and instance segmentation of people in multi-person images using an efficient single-shot model.
-
12 Oct 2023 2 repositories listed Syntology ran 11 of 13 samples · 2 unverified · 13 pointer-only (licence)This work aims to address an advanced keypoint detection problem: how to accurately detect any keypoints in complex real-world scenarios, which involves massive, messy, and open-ended objects as well as their associated…
-
14 Aug 2023 2 repositories listed Syntology ran 21 of 22 samples · 1 unverifiedState-of-the-art solutions adopt the DETR-like framework, and mainly develop the complex decoder, e.
-
14 Apr 2022 2 repositories listedAll experiments and results reported in this paper are without any test time augmentation, unlike traditional approaches that use flip-test and multi-scale testing to boost performance.
Syntology lines on 14 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