Monocular 3D Human Pose Estimation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

5 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 70 papers with code (101 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.

• 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.
• 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.
• 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.
• 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.
• Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers
  12 Oct 2022 2 repositories listed Syntology ran 0 of 17 samples · 17 unverified
  The state-of-the-art for monocular 3D human pose estimation in videos is dominated by the paradigm of 2D-to-3D pose uplifting.
• Capturing and Inferring Dense Full-Body Human-Scene Contact
  20 Jun 2022 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We capture a new dataset called RICH for "Real scenes, Interaction, Contact and Humans."
• ICON: Implicit Clothed humans Obtained from Normals
  16 Dec 2021 2 repositories listed
  First, ICON infers detailed clothed-human normals (front/back) conditioned on the SMPL(-X) normals.
• 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.
• Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
  8 May 2019 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  Image-based features are attached to the mesh vertices and the Graph-CNN is responsible to process them on the mesh structure, while the regression target for each vertex is its 3D location.
• Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
  11 Apr 2019 2 repositories listed Syntology ran 1 of 11 samples · 10 unverified
  We argue that 3D human pose estimation from a monocular input is an inverse problem where multiple feasible solutions can exist.
• Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation
  17 Aug 2018 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Direct prediction of 3D body pose and shape remains a challenge even for highly parameterized deep learning models.
• Unite the People: Closing the Loop Between 3D and 2D Human Representations
  10 Jan 2017 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  With a comprehensive set of experiments, we show how this data can be used to train discriminative models that produce results with an unprecedented level of detail: our models predict 31 segments and 91 landmark…
• PoseGRAF: Geometric-Reinforced Adaptive Fusion for Monocular 3D Human Pose Estimation
  17 Jun 2025 1 repository listed
  Existing monocular 3D pose estimation methods primarily rely on joint positional features, while overlooking intrinsic directional and angular correlations within the skeleton.
• Dual-stream Transformer-GCN Model with Contextualized Representations Learning for Monocular 3D Human Pose Estimation
  2 Apr 2025 1 repository listed
  To address these limitations, our work introduces a groundbreaking motion pre-training method based on contextualized representation learning.
• TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation
  3 Jan 2025 1 repository listed
  However, previous methods ignore the intricate dependence within the 2D pose sequence and learn single temporal correlation.
• PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model
  7 Aug 2024 1 repository listed
  Within this bidirectional global-local spatio-temporal SSM block, we introduce a reordering strategy to enhance the local modeling capability of the SSM.
• KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation
  31 Mar 2024 1 repository listed Syntology ran 6 of 10 samples · 4 unverified · 10 pointer-only (licence)
  This paper presents a novel Kinematics and Trajectory Prior Knowledge-Enhanced Transformer (KTPFormer), which overcomes the weakness in existing transformer-based methods for 3D human pose estimation that the derivation…
• Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
  7 Mar 2024 1 repository listed
  To address these problems, a Disentangled Diffusion-based 3D Human Pose Estimation method with Hierarchical Spatial and Temporal Denoiser is proposed, termed DDHPose.
• Exploring Latent Cross-Channel Embedding for Accurate 3D Human Pose Reconstruction in a Diffusion Framework
  18 Jan 2024 1 repository listed
  However, there is still ample room for improvement as these methods often overlook the exploration of correlation between the 2D and 3D joint-level features.
• 3D-LFM: Lifting Foundation Model
  19 Dec 2023 1 repository listed
  The lifting of 3D structure and camera from 2D landmarks is at the cornerstone of the entire discipline of computer vision.
• ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
  11 Dec 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  By constraining the outputs to lie on the human pose manifold, ManiPose guarantees the consistency of all hypothetical poses, in contrast to previous works.
• MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Network
  25 Oct 2023 1 repository listed Syntology ran 14 of 16 samples · 2 unverified
  Our proposed GCNFormer module exploits the local relationship between adjacent joints, outputting a new representation that is complementary to the transformer output.
• Double-chain Constraints for 3D Human Pose Estimation in Images and Videos
  10 Aug 2023 1 repository listed
  Notably, our model achieves state-of-the-art performance on all action categories in the Human3.

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.