3D Human Pose Estimation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

26 leaderboard tables shown for this task, 26 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 26 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

50 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 50 until expanded.

Subtasks archive 2025-07-28

9 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 353 papers with code (665 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.

• Convolutional Pose Machines
  30 Jan 2016 50 repositories listed Syntology ran 1 of 4 samples · 3 unverified · 3 pointer-only (licence)
  Pose Machines provide a sequential prediction framework for learning rich implicit spatial models.
• Deep High-Resolution Representation Learning for Human Pose Estimation
  25 Feb 2019 39 repositories listed Syntology ran 8 of 25 samples · 17 unverified
  We 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.
• Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
  23 Jan 2018 24 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Dynamics of human body skeletons convey significant information for human action recognition.
• DensePose: Dense Human Pose Estimation In The Wild
  1 Feb 2018 22 repositories listed
  In this work, we establish dense correspondences between RGB image and a surface-based representation of the human body, a task we refer to as dense human pose estimation.
• A simple yet effective baseline for 3d human pose estimation
  8 May 2017 14 repositories listed Syntology ran 5 of 7 samples · 2 unverified
  Following the success of deep convolutional networks, state-of-the-art methods for 3d human pose estimation have focused on deep end-to-end systems that predict 3d joint locations given raw image pixels.
• Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
  1 Jan 2017 11 repositories listed
  We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to improve both tasks.
• 3D human pose estimation in video with temporal convolutions and semi-supervised training
  28 Nov 2018 10 repositories listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  We start with predicted 2D keypoints for unlabeled video, then estimate 3D poses and finally back-project to the input 2D keypoints.
• End-to-end Recovery of Human Shape and Pose
  18 Dec 2017 10 repositories listed
  The main objective is to minimize the reprojection loss of keypoints, which allow our model to be trained using images in-the-wild that only have ground truth 2D annotations.
• MogaNet: Multi-order Gated Aggregation Network
  7 Nov 2022 7 repositories listed Syntology ran 12 of 15 samples · 3 unverified
  Notably, MogaNet hits 80.
• BlazePose: On-device Real-time Body Pose tracking
  17 Jun 2020 7 repositories listed
  We present BlazePose, a lightweight convolutional neural network architecture for human pose estimation that is tailored for real-time inference on mobile devices.
• CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
  1 Aug 2022 6 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Top-down methods dominate the field of 3D human pose and shape estimation, because they are decoupled from human detection and allow researchers to focus on the core problem.
• Multi-Garment Net: Learning to Dress 3D People from Images
  19 Aug 2019 6 repositories listed
  We present Multi-Garment Network (MGN), a method to predict body shape and clothing, layered on top of the SMPL model from a few frames (1-8) of a video.
• Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
  8 Apr 2017 6 repositories listed
  We propose a weakly-supervised transfer learning method that uses mixed 2D and 3D labels in a unified deep neutral network that presents two-stage cascaded structure.
• VIBE: Video Inference for Human Body Pose and Shape Estimation
  11 Dec 2019 5 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Human motion is fundamental to understanding behavior.
• Semantic Graph Convolutional Networks for 3D Human Pose Regression
  6 Apr 2019 5 repositories listed Syntology ran 2 of 8 samples · 6 unverified
  In this paper, we study the problem of learning Graph Convolutional Networks (GCNs) for regression.
• Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
  9 Dec 2017 5 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  Our approach uses novel occlusion-robust pose-maps (ORPM) which enable full body pose inference even under strong partial occlusions by other people and objects in the scene.
• V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
  20 Nov 2017 5 repositories listed
  To overcome these weaknesses, we firstly cast the 3D hand and human pose estimation problem from a single depth map into a voxel-to-voxel prediction that uses a 3D voxelized grid and estimates the per-voxel likelihood…
• Human Pose Regression with Residual Log-likelihood Estimation
  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.
• HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation
  30 Nov 2020 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We show that HybrIK preserves both the accuracy of 3D pose and the realistic body structure of the parametric human model, leading to a pixel-aligned 3D body mesh and a more accurate 3D pose than the pure 3D keypoint…
• Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
  26 Jul 2019 4 repositories listed Syntology ran 1 of 7 samples · 6 unverified
  Although significant improvement has been achieved recently in 3D human pose estimation, most of the previous methods only treat a single-person case.
• XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
  1 Jul 2019 4 repositories listed
  The first stage is a convolutional neural network (CNN) that estimates 2D and 3D pose features along with identity assignments for all visible joints of all individuals.
• Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose
  23 Nov 2016 4 repositories listed
  This paper addresses the challenge of 3D human pose estimation from a single color image.
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
  16 Aug 2023 3 repositories listed Syntology ran 1 of 8 samples · 7 unverified · 8 pointer-only (licence)
  AutoGen is an open-source framework that allows developers to build LLM applications via multiple agents that can converse with each other to accomplish tasks.
• TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments
  5 Jun 2023 3 repositories listed Syntology ran 5 of 20 samples · 15 unverified
  Although the estimation of 3D human pose and shape (HPS) is rapidly progressing, current methods still cannot reliably estimate moving humans in global coordinates, which is critical for many applications.
• Mesh Graphormer
  1 Apr 2021 3 repositories listed
  We present a graph-convolution-reinforced transformer, named Mesh Graphormer, for 3D human pose and mesh reconstruction from a single image.
• 3D Human Pose Estimation with Spatial and Temporal Transformers
  18 Mar 2021 3 repositories listed Syntology ran 4 of 8 samples · 4 unverified · 8 pointer-only (licence)
  Transformer architectures have become the model of choice in natural language processing and are now being introduced into computer vision tasks such as image classification, object detection, and semantic segmentation.
• 3D Human Mesh Regression with Dense Correspondence
  10 Jun 2020 3 repositories listed Syntology ran 2 of 10 samples · 8 unverified
  This paper proposes a model-free 3D human mesh estimation framework, named DecoMR, which explicitly establishes the dense correspondence between the mesh and the local image features in the UV space (i.
• PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
  1 Apr 2020 3 repositories listed
  Although current approaches have demonstrated the potential in real world settings, they still fail to produce reconstructions with the level of detail often present in the input images.
• ARTS: Semi-Analytical Regressor using Disentangled Skeletal Representations for Human Mesh Recovery from Videos
  21 Oct 2024 2 repositories listed
  Then, to fully utilize these representations, we introduce a semi-analytical regressor to estimate the parameters of the human mesh model.
• 3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement
  24 Apr 2024 2 repositories listed
  In the field of 3D Human Pose Estimation (HPE), accurately estimating human pose, especially in scenarios with occlusions, is a significant challenge.

Syntology lines on 17 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.