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Human Pose Forecasting

Human pose forecasting is the task of detecting and predicting future human poses.

( Image credit: EgoPose )

Papers

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Showing 1–50 of 58 papers

TitleStatusHype
Robust Motion In-betweeningCode2
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed DiffusionCode2
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal AnchorsCode1
A generic diffusion-based approach for 3D human pose prediction in the wildCode1
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion PredictionCode1
Back to MLP: A Simple Baseline for Human Motion PredictionCode1
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion PredictionCode1
Best Practices for 2-Body Pose ForecastingCode1
Contact-aware Human Motion ForecastingCode1
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion ForecastingCode1
Deep Unsupervised Clustering with Gaussian Mixture Variational AutoencodersCode1
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary SpaceCode1
DLow: Diversifying Latent Flows for Diverse Human Motion PredictionCode1
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction ReasoningCode1
Expressive Forecasting of 3D Whole-body Human MotionsCode1
GCNext: Towards the Unity of Graph Convolutions for Human Motion PredictionCode1
Generating Smooth Pose Sequences for Diverse Human Motion PredictionCode1
Learning Trajectory Dependencies for Human Motion PredictionCode1
MotionMap: Representing Multimodality in Human Pose ForecastingCode1
MotionMixer: MLP-based 3D Human Body Pose ForecastingCode1
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion PredictionCode1
Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory ConditioningCode1
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly DetectionCode1
Pose Forecasting in Industrial Human-Robot CollaborationCode1
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion PredictionCode1
Scene-aware Human Motion Forecasting via Mutual Distance PredictionCode1
SoMoFormer: Multi-Person Pose Forecasting with TransformersCode1
Space-Time-Separable Graph Convolutional Network for Pose ForecastingCode1
Toward Reliable Human Pose Forecasting with UncertaintyCode1
TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion PredictionCode1
Imitation Learning for Human Pose Prediction—0
AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations—0
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis—0
Recurrent Network Models for Human Dynamics—0
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction—0
Multi-Graph Convolution Network for Pose Forecasting—0
Diverse Trajectory Forecasting with Determinantal Point Processes—0
Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling—0
EgoCast: Forecasting Egocentric Human Pose in the Wild—0
Exploring 3D Human Pose Estimation and Forecasting from the Robot's Perspective: The HARPER Dataset—0
Personalized Pose Forecasting—0
Towards Accurate Human Motion Prediction via Iterative Refinement—0
Human Pose Forecasting via Deep Markov Models—0
Graph-Guided MLP-Mixer for Skeleton-Based Human Motion Prediction—0
HP-GAN: Probabilistic 3D human motion prediction via GANCode0
Learning to Forecast and Refine Residual Motion for Image-to-Video GenerationCode0
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion PredictionCode0
Intention-based Long-Term Human Motion AnticipationCode0
Staged Contact-Aware Global Human Motion ForecastingCode0
HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose ForecastingCode0
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