Pose Prediction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 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

8 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 (163 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.

• HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
  27 Aug 2019 19 repositories listed Syntology ran 5 of 27 samples · 22 unverified
  HigherHRNet even surpasses all top-down methods on CrowdPose test (67.
• Estimating 6D Pose From Localizing Designated Surface Keypoints
  4 Dec 2018 6 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  In this paper, we present an accurate yet effective solution for 6D pose estimation from an RGB image.
• 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.
• Segmentation-driven 6D Object Pose Estimation
  6 Dec 2018 5 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  The most recent trend in estimating the 6D pose of rigid objects has been to train deep networks to either directly regress the pose from the image or to predict the 2D locations of 3D keypoints, from which the pose can…
• Real-Time Seamless Single Shot 6D Object Pose Prediction
  24 Nov 2017 5 repositories listed
  For single object and multiple object pose estimation on the LINEMOD and OCCLUSION datasets, our approach substantially outperforms other recent CNN-based approaches when they are all used without post-processing.
• HOnnotate: A method for 3D Annotation of Hand and Object Poses
  2 Jul 2019 4 repositories listed
  This dataset is currently made of 77, 558 frames, 68 sequences, 10 persons, and 10 objects.
• Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction
  20 May 2024 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  In recent years, machine learning (ML) methods have emerged as promising alternatives for molecular docking, offering the potential for high accuracy without incurring prohibitive computational costs.
• PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling
  1 Oct 2023 3 repositories listed Syntology ran 8 of 8 samples · 0 unverified
  Different pre-screening methods have been developed for rapid screening, but there is still a lack of structure-based methods applicable to various proteins that perform protein-ligand binding conformation prediction…
• Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos
  25 Mar 2024 2 repositories listed
  We present a method to build animatable dog avatars from monocular videos.
• Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation
  14 Sep 2023 2 repositories listed
  Together with new accumulated training data that provides full head pose rotation data and a geodesic loss approach for stable learning, we design an advanced model that is able to predict an extended range of head…
• Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
  30 Jun 2023 2 repositories listed
  3D perceptual representations are well suited for robot manipulation as they easily encode occlusions and simplify spatial reasoning.
• 6D Rotation Representation For Unconstrained Head Pose Estimation
  25 Feb 2022 2 repositories listed Syntology ran 5 of 8 samples · 3 unverified · 3 pointer-only (licence)
  In this paper, we present a method for unconstrained end-to-end head pose estimation.
• Unsupervised Part-Based Disentangling of Object Shape and Appearance
  16 Mar 2019 2 repositories listed
  Large intra-class variation is the result of changes in multiple object characteristics.
• 3D Hand Shape and Pose from Images in the Wild
  9 Feb 2019 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  We present in this work the first end-to-end deep learning based method that predicts both 3D hand shape and pose from RGB images in the wild.
• Protein-Ligand Scoring with Convolutional Neural Networks
  8 Dec 2016 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  A CNN scoring function automatically learns the key features of protein-ligand interactions that correlate with binding.
• Multi-Resolution Haar Network: Enhancing human motion prediction via Haar transform
  19 May 2025 1 repository listed
  Instead of mining in one of two axes or extracting separately, the MR-Haar block projects whole motion sequences to a mixed-up coordinate in higher resolution with 2D Haar Transform, allowing the network to give scope…
• Exploring Mutual Cross-Modal Attention for Context-Aware Human Affordance Generation
  19 Feb 2025 1 repository listed
  In the subsequent steps, we use two VAEs to sample the scale and deformation parameters for the predicted pose template by conditioning on the local context and template class.
• GAPartManip: A Large-scale Part-centric Dataset for Material-Agnostic Articulated Object Manipulation
  27 Nov 2024 1 repository listed
  To address these challenges, we introduced a large-scale part-centric dataset for articulated object manipulation that features both photo-realistic material randomization and detailed annotations of part-oriented,…
• Multi-Transmotion: Pre-trained Model for Human Motion Prediction
  4 Nov 2024 1 repository listed Syntology ran 0 of 14 samples · 14 unverified · 14 pointer-only (licence)
  However, the complexity of human motion have prevented the development of a standardized dataset for human motion prediction, thereby hindering the establishment of pre-trained models.
• QuickBind: A Light-Weight And Interpretable Molecular Docking Model
  21 Oct 2024 1 repository listed
  For high-throughput virtual screening applications, this exposes a capability gap that can be filled by moderately accurate but fast pose prediction.
• Sparse Prototype Network for Explainable Pedestrian Behavior Prediction
  16 Oct 2024 1 repository listed
  To bridge this gap, we present Sparse Prototype Network (SPN), an explainable method designed to simultaneously predict a pedestrian's future action, trajectory, and pose.
• Assessing interaction recovery of predicted protein-ligand poses
  30 Sep 2024 1 repository listed
  The field of protein-ligand pose prediction has seen significant advances in recent years, with machine learning-based methods now being commonly used in lieu of classical docking methods or even to predict all-atom…
• Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos
  21 May 2024 1 repository listed
  Accurately localizing two-dimensional (2D) ultrasound (US) fetal brain images in the 3D brain, using minimal computational resources, is an important task for automated US analysis of fetal growth and development.
• Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
  20 Apr 2024 1 repository listed Syntology ran 13 of 22 samples · 9 unverified · 1 pointer-only (licence)
  In this work, we propose a method for precise relative pose prediction which is provably SE(3)-equivariant, can be learned from only a few demonstrations, and can generalize across variations in a class of objects.
• DeepRLI: A Multi-objective Framework for Universal Protein--Ligand Interaction Prediction
  19 Jan 2024 1 repository listed
  In order to equip the model to generalize to conformations beyond the confines of crystal structures and to adapt to molecular docking and virtual screening tasks, we propose a multi-objective strategy, that is, the…
• Enhancing Ligand Pose Sampling for Molecular Docking
  30 Nov 2023 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  To train scoring functions-and to perform molecular docking-one must generate a set of candidate ligand binding poses.
• DiffBindFR: An SE(3) Equivariant Network for Flexible Protein-Ligand Docking
  26 Nov 2023 1 repository listed Syntology ran 13 of 15 samples · 2 unverified · 15 pointer-only (licence)
  Furthermore, in the Apo and AlphaFold2 modeled structures, DiffBindFR demonstrates superior advantages in accurate ligand binding pose and protein binding conformation prediction, making it suitable for Apo and…
• SimCol3D -- 3D Reconstruction during Colonoscopy Challenge
  20 Jul 2023 1 repository listed
  We show that depth prediction from synthetic colonoscopy images is robustly solvable, while pose estimation remains an open research question.
• Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
  15 Jun 2023 1 repository listed
  Both PAAT and PAAB surpass their respective backbone Transformers by up to 9.
• Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception
  10 Jun 2023 1 repository listed
  We introduce the Aria Digital Twin (ADT) - an egocentric dataset captured using Aria glasses with extensive object, environment, and human level ground truth.

Syntology lines on 12 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.