3D human pose and shape 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

2 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 33 papers with code (50 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.

• 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.
• 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…
• CameraHMR: Aligning People with Perspective
  12 Nov 2024 2 repositories listed Syntology ran 0 of 6 samples · 6 unverified · 6 pointer-only (licence)
  We use the estimated intrinsics to enhance the 4D-Humans dataset by incorporating a full perspective camera model during SMPLify fitting.
• Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
  10 Jul 2024 2 repositories listed Syntology ran 18 of 20 samples · 2 unverified
  With the explosive growth of available training data, single-image 3D human modeling is ahead of a transition to a data-centric paradigm.
• AnthroNet: Conditional Generation of Humans via Anthropometrics
  7 Sep 2023 2 repositories listed
  We present a novel human body model formulated by an extensive set of anthropocentric measurements, which is capable of generating a wide range of human body shapes and poses.
• PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
  30 Mar 2021 2 repositories listed
  Regression-based methods have recently shown promising results in reconstructing human meshes from monocular images.
• 3D Human Pose, Shape and Texture from Low-Resolution Images and Videos
  11 Mar 2021 2 repositories listed
  Two common approaches to deal with low-resolution images are applying super-resolution techniques to the input, which may result in unpleasant artifacts, or simply training one model for each resolution, which is…
• 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.
• 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…
• Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
  25 Nov 2024 1 repository listed Syntology ran 3 of 11 samples · 8 unverified
  Instead, we propose to additionally supervise the learned distributions by minimizing the distance to distributions encoded in heatmaps of a 2D pose detector.
• D-PoSE: Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation
  7 Oct 2024 1 repository listed
  We present D-PoSE (Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation), a one-stage method that estimates human pose and SMPL-X shape parameters from a single RGB image.
• GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers
  6 Sep 2024 1 repository listed
  Reconstructing posed 3D human models from monocular images has important applications in the sports industry, including performance tracking, injury prevention and virtual training.
• BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
  24 Nov 2023 1 repository listed
  In this work, we propose BinaryHPE, a novel binarization method designed to estimate the 3D human body, face, and hands parameters efficiently.
• NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation
  15 May 2023 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  In this work, we present NIKI (Neural Inverse Kinematics with Invertible Neural Network), which models bi-directional errors to improve the robustness to occlusions and obtain pixel-aligned accuracy.
• HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
  11 May 2023 1 repository listed Syntology ran 3 of 6 samples · 3 unverified
  Monocular 3D human pose and shape estimation is an ill-posed problem since multiple 3D solutions can explain a 2D image of a subject.
• Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation
  26 Mar 2023 1 repository listed
  However, using a single kind of modeling structure is difficult to balance the learning of short-term and long-term temporal correlations, and may bias the network to one of them, leading to undesirable predictions like…
• Capturing the motion of every joint: 3D human pose and shape estimation with independent tokens
  1 Mar 2023 1 repository listed
  In this paper we present a novel method to estimate 3D human pose and shape from monocular videos.
• 3D Human Pose and Shape Estimation via HybrIK-Transformer
  9 Feb 2023 1 repository listed
  HybrIK relies on a combination of analytical inverse kinematics and deep learning to produce more accurate 3D pose estimation from 2D monocular images.
• IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation
  2 Feb 2023 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  This paper presents an inverse kinematic optimization layer (IKOL) for 3D human pose and shape estimation that leverages the strength of both optimization- and regression-based methods within an end-to-end framework.
• MEEV: Body Mesh Estimation On Egocentric Video
  21 Oct 2022 1 repository listed
  This technical report introduces our solution, MEEV, proposed to the EgoBody Challenge at ECCV 2022.
• Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
  21 Sep 2022 1 repository listed
  Experiments with 10 backbones, ranging from CNNs to transformers, show the knowledge learnt from a proximity task is readily transferable to human mesh recovery.
• PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images
  13 Jul 2022 1 repository listed
  To address these issues, we propose a Pyramidal Mesh Alignment Feedback (PyMAF) loop in our regression network for well-aligned human mesh recovery and extend it as PyMAF-X for the recovery of expressive full-body…
• Recovering 3D Human Mesh from Monocular Images: A Survey
  3 Mar 2022 1 repository listed
  Since the release of statistical body models, 3D human mesh recovery has been drawing broader attention.
• AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation
  20 Jan 2022 1 repository listed
  In this letter, we present a novel markerless 3D human motion capture (MoCap) system for unstructured, outdoor environments that uses a team of autonomous unmanned aerial vehicles (UAVs) with on-board RGB cameras and…
• Learning to Regress Bodies from Images using Differentiable Semantic Rendering
  7 Oct 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  For Minimally-Clothed regions, we define the DSR-MC loss, which encourages a tight match between a rendered SMPL body and the minimally-clothed regions of the image.
• EventHPE: Event-based 3D Human Pose and Shape Estimation
  15 Aug 2021 1 repository listed Syntology ran 10 of 13 samples · 3 unverified
  Event camera is an emerging imaging sensor for capturing dynamics of moving objects as events, which motivates our work in estimating 3D human pose and shape from the event signals.
• PARE: Part Attention Regressor for 3D Human Body Estimation
  17 Apr 2021 1 repository listed
  Despite significant progress, we show that state of the art 3D human pose and shape estimation methods remain sensitive to partial occlusion and can produce dramatically wrong predictions although much of the body is…
• Consistency-Aware Graph Network for Human Interaction Understanding
  20 Nov 2020 1 repository listed
  Compared with the progress made on human activity classification, much less success has been achieved on human interaction understanding (HIU).
• Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
  17 Nov 2020 1 repository listed
  Our TCMR significantly outperforms previous video-based methods in temporal consistency with better per-frame 3D pose and shape accuracy.
• Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild
  21 Sep 2020 1 repository listed Syntology ran 2 of 9 samples · 7 unverified
  Thus, we propose STRAPS (Synthetic Training for Real Accurate Pose and Shape), a system that utilises proxy representations, such as silhouettes and 2D joints, as inputs to a shape and pose regression neural network,…

Syntology lines on 13 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.