Browse State-of-the-Art › Human motion prediction
Human motion prediction
68 papers with code · 0 benchmarks · 5 datasets archive 2025-07-28
Action prediction is a pre-fact video understanding task, which focuses on future states, in other words, it needs to reason about future states or infer action labels before the end of action execution.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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
1 subtask in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 68 papers with code (162 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.
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6 May 2017 8 repositories listed Syntology ran 3 of 5 samples · 2 unverified · 3 pointer-only (licence)Human motion modelling is a classical problem at the intersection of graphics and computer vision, with applications spanning human-computer interaction, motion synthesis, and motion prediction for virtual and augmented…
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15 Aug 2019 5 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedIn this paper, we propose a simple feed-forward deep network for motion prediction, which takes into account both temporal smoothness and spatial dependencies among human body joints.
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23 Jul 2020 3 repositories listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)Human motion prediction aims to forecast future human poses given a past motion.
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27 Feb 2020 3 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedBetter machine understanding of pedestrian behaviors enables faster progress in modeling interactions between agents such as autonomous vehicles and humans.
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6 Dec 2018 3 repositories listedThe discriminator is trained also to regress this extrinsic factor r, which is used alongside with the intrinsic factor (encoded starting pose sequence) to generate a particular pose sequence.
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27 Nov 2017 3 repositories listedOur model, which we call HP-GAN, learns a probability density function of future human poses conditioned on previous poses.
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15 Jul 2022 2 repositories listedIn this paper, we propose a novel sampling strategy for sampling very diverse results from an imbalanced multimodal distribution learned by a deep generative model.
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5 Oct 2020 2 repositories listed Syntology ran 6 of 10 samples · 4 unverified · 3 pointer-only (licence)The task of predicting human motion is complicated by the natural heterogeneity and compositionality of actions, necessitating robustness to distributional shifts as far as out-of-distribution (OoD).
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11 Feb 2019 2 repositories listed Syntology ran 2 of 27 samples · 25 unverified · 22 pointer-only (licence)To facilitate the training, the network is learned with an auxiliary task of predicting future location in which the activity will happen.
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5 Jul 2025 1 repository listedThe STAB stores the action transition information.
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5 Jul 2025 1 repository listedExtensive experiments on four HMP benchmark datasets demonstrate the effectiveness and flexibility of TCL.
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19 May 2025 1 repository listedInstead 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…
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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.
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17 Sep 2024 1 repository listedAutoregressive models excel in modeling sequential dependencies by enforcing causal constraints, yet they struggle to capture complex bidirectional patterns due to their unidirectional nature.
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16 Jul 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedExpanding on SLD, we introduce a set of motion queries to enhance the diversity of predictions.
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9 May 2024 1 repository listedThis project addresses the challenge of human motion prediction, a critical area for applications such as au- tonomous vehicle movement detection.
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Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting21 Feb 2024 1 repository listedHuman motion prediction is still an open problem extremely important for autonomous driving and safety applications.
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19 Dec 2023 1 repository listedThe past few years has witnessed the dominance of Graph Convolutional Networks (GCNs) over human motion prediction.
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29 Nov 2023 1 repository listed Syntology ran 8 of 11 samples · 3 unverifiedFor the base-layer motion tokens, a Masked Transformer is designated to predict randomly masked motion tokens conditioned on text input at training stage.
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23 Nov 2023 1 repository listedWith potential applications in fields including intelligent surveillance and human-robot interaction, the human motion prediction task has become a hot research topic and also has achieved high success, especially using…
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31 Aug 2023 1 repository listed Syntology ran 6 of 6 samples · 0 unverifiedThis paper addresses a novel task of anticipating 3D human-object interactions (HOIs).
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31 Aug 2023 1 repository listedOur experiments on two challenging benchmark datasets, CMU Mocap and Human3.
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17 Aug 2023 1 repository listed Syntology ran 13 of 19 samples · 6 unverified · 19 pointer-only (licence)To work with auxiliary tasks, we propose a novel auxiliary-adapted transformer, which can handle incomplete, corrupted motion data and achieve coordinate recovery via capturing spatial-temporal dependencies.
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2 Aug 2023 1 repository listedHuman motion prediction (HMP) has emerged as a popular research topic due to its diverse applications, but it remains a challenging task due to the stochastic and aperiodic nature of future poses.
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30 Jul 2023 1 repository listedPredicting human motion plays a crucial role in ensuring a safe and effective human-robot close collaboration in intelligent remanufacturing systems of the future.
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21 Jun 2023 1 repository listedSpecifically, we introduce a novel adaptable scheme that facilitates the attack to suit the scale of the target pose and two physical constraints to enhance the naturalness of the adversarial example.
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8 Jun 2023 1 repository listedThis paper aims to deal with the ignored real-world complexities in prior work on human motion forecasting, emphasizing the social properties of multi-person motion, the diversity of motion and social interactions, and…
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21 May 2023 1 repository listedStochastic Human Motion Prediction (HMP) aims to predict multiple possible future human pose sequences from observed ones.
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23 Apr 2023 1 repository listedReasoning on the context of human beings is crucial for many real-world applications especially for those deploying autonomous systems (e.
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9 Feb 2023 1 repository listedPredicting diverse human motions given a sequence of historical poses has received increasing attention.
Syntology lines on 11 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.
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