3D Pose Estimation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

7 leaderboard tables shown for this task, 7 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

36 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 36 until expanded.

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 154 papers with code (379 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.

• 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.
• 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.
• 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.
• The Open Catalyst 2020 (OC20) Dataset and Community Challenges
  20 Oct 2020 5 repositories listed Syntology ran 0 of 11 samples · 11 unverified · 11 pointer-only (licence)
  Catalyst discovery and optimization is key to solving many societal and energy challenges including solar fuels synthesis, long-term energy storage, and renewable fertilizer production.
• 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.
• 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.
• Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
  14 Jan 2019 4 repositories listed Syntology ran 2 of 19 samples · 17 unverified
  This paper addresses the problem of 3D pose estimation for multiple people in a few calibrated camera views.
• Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
  22 Oct 2018 3 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  We address the problem of learning accurate 3D shape and camera pose from a collection of unlabeled category-specific images.
• 3D Human Mesh Estimation from Virtual Markers
  21 Mar 2023 2 repositories listed Syntology ran 5 of 13 samples · 8 unverified
  The advanced motion capture systems solve the problem by placing dense physical markers on the body surface, which allows to extract realistic meshes from their non-rigid motions.
• Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories
  18 Aug 2022 2 repositories listed
  This paper considers a scenario of pursuing a moving target that may switch behaviors due to external factors in a dynamic environment by motion estimation using visual sensors.
• Graph Neural Networks for Cross-Camera Data Association
  17 Jan 2022 2 repositories listed
  To avoid the usage of fixed distances, we leverage the connectivity of Graph Neural Networks, previously unused in this scope, using a Message Passing Network to jointly learn features and similarity.
• SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos
  27 Dec 2021 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  With a simple yet effective motion-aware fully-connected network, SmoothNet improves the temporal smoothness of existing pose estimators significantly and enhances the estimation accuracy of those challenging frames as…
• Direct Multi-view Multi-person 3D Pose Estimation
  7 Nov 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Instead of estimating 3D joint locations from costly volumetric representation or reconstructing the per-person 3D pose from multiple detected 2D poses as in previous methods, MvP directly regresses the multi-person 3D…
• Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
  10 Jun 2021 2 repositories listed
  Single image pose estimation is a fundamental problem in many vision and robotics tasks, and existing deep learning approaches suffer by not completely modeling and handling: i) uncertainty about the predictions, and…
• Heuristic Weakly Supervised 3D Human Pose Estimation
  23 May 2021 2 repositories listed
  However, recent models depend on supervised training with 3D pose ground truth data or known pose priors for their target domains.
• View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose
  23 Oct 2020 2 repositories listed
  Recognition of human poses and actions is crucial for autonomous systems to interact smoothly with people.
• DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss
  20 Aug 2020 2 repositories listed
  In this context, the 3D localisation of the UAV assistant is an important task that can facilitate the exchange of spatial information between the user and the UAV.
• An Analysis of SVD for Deep Rotation Estimation
  25 Jun 2020 2 repositories listed
  Symmetric orthogonalization via SVD, and closely related procedures, are well-known techniques for projecting matrices onto O(n) or SO(n).
• Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
  9 Mar 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  To further verify the scalability of our method, we propose a new large-scale multi-human dataset with 12 to 28 camera views.
• A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
  27 Aug 2019 2 repositories listed Syntology ran 6 of 9 samples · 3 unverified
  For 3D hand and body pose estimation task in depth image, a novel anchor-based approach termed Anchor-to-Joint regression network (A2J) with the end-to-end learning ability is proposed.
• Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
  20 Aug 2019 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Different from the existing methods try to obtain all the complex 3D pose, shape, and camera parameters from one coupling feature, we propose a skeleton-disentangling based framework, which divides this task into…
• Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories
  19 Oct 2018 2 repositories listed
  Existing 3D pose datasets of object categories are limited to generic object types and lack of fine-grained information.
• SilhoNet: An RGB Method for 6D Object Pose Estimation
  18 Sep 2018 2 repositories listed
  Autonomous robot manipulation involves estimating the translation and orientation of the object to be manipulated as a 6-degree-of-freedom (6D) pose.
• How Robust is 3D Human Pose Estimation to Occlusion?
  28 Aug 2018 2 repositories listed
  Occlusion is commonplace in realistic human-robot shared environments, yet its effects are not considered in standard 3D human pose estimation benchmarks.
• MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation
  24 Aug 2018 2 repositories listed
  In this paper, we present the dataset, its annotations, as well as baseline results from several recent person detection and 2D/3D pose estimation methods.
• 3D Pose Estimation for Fine-Grained Object Categories
  12 Jun 2018 2 repositories listed
  The new dataset is available at www.
• A generalizable approach for multi-view 3D human pose regression
  27 Apr 2018 2 repositories listed
  As 2D poses are collected at test time using a SV pose detector, which might generate inaccurate detections, we model its characteristics and incorporate this information during training.
• Face Alignment in Full Pose Range: A 3D Total Solution
  2 Apr 2018 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  In this paper, we propose to tackle these three challenges in an new alignment framework termed 3D Dense Face Alignment (3DDFA), in which a dense 3D Morphable Model (3DMM) is fitted to the image via Cascaded…
• 2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
  26 Feb 2018 2 repositories listed Syntology ran 0 of 25 samples · 25 unverified
  Action recognition and human pose estimation are closely related but both problems are generally handled as distinct tasks in the literature.

Syntology lines on 15 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.