Human Pose Forecasting
38 papers with code • 5 benchmarks • 5 datasets
Human pose forecasting is the task of detecting and predicting future human poses.
( Image credit: EgoPose )
Human3.6M
3DPW
AMASS
GTA-IM Dataset
PATS
Latest papers
Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning
Our model effectively handles the multi-modality of human motion and the complexity of long-term multi-agent interactions, improving performance in complex environments.
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting
Human motion prediction is still an open problem extremely important for autonomous driving and safety applications.
Expressive Forecasting of 3D Whole-body Human Motions
dingpx/eai
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Human motion forecasting, with the goal of estimating future human behavior over a period of time, is a fundamental task in many real-world applications.
Staged Contact-Aware Global Human Motion Forecasting
l-scofano/stag
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So far, only Mao et al. NeurIPS'22 have addressed scene-aware global motion, cascading the prediction of future scene contact points and the global motion estimation.
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
Sirui-Xu/InterDiff
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ICCV 2023
This paper addresses a novel task of anticipating 3D human-object interactions (HOIs).
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
aleflabo/MoCoDAD
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ICCV 2023
Leading OCC techniques constrain the latent representations of normal motions to limited volumes and detect as abnormal anything outside, which accounts satisfactorily for the openset'ness of anomalies.
Toward Reliable Human Pose Forecasting with Uncertainty
Recently, there has been an arms race of pose forecasting methods aimed at solving the spatio-temporal task of predicting a sequence of future 3D poses of a person given a sequence of past observed ones.
Best Practices for 2-Body Pose Forecasting
edodema/BestPractices2Body
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The task of collaborative human pose forecasting stands for predicting the future poses of multiple interacting people, given those in previous frames.
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
mediabrain-sjtu/eqmotion
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CVPR 2023
In motion prediction tasks, maintaining motion equivariance under Euclidean geometric transformations and invariance of agent interaction is a critical and fundamental principle.
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors
sirui-xu/stars
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Predicting diverse human motions given a sequence of historical poses has received increasing attention.
