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Human Pose Forecasting

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

( Image credit: EgoPose )

Papers

Showing 2650 of 58 papers

TitleStatusHype
Generating Smooth Pose Sequences for Diverse Human Motion PredictionCode1
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion PredictionCode1
DLow: Diversifying Latent Flows for Diverse Human Motion PredictionCode1
Learning Trajectory Dependencies for Human Motion PredictionCode1
Deep Unsupervised Clustering with Gaussian Mixture Variational AutoencodersCode1
EgoCast: Forecasting Egocentric Human Pose in the Wild0
Exploring 3D Human Pose Estimation and Forecasting from the Robot's Perspective: The HARPER Dataset0
Personalized Pose Forecasting0
Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling0
Staged Contact-Aware Global Human Motion ForecastingCode0
AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations0
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion PredictionCode0
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis0
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction0
Towards Accurate Human Motion Prediction via Iterative Refinement0
Multi-Graph Convolution Network for Pose Forecasting0
Graph-Guided MLP-Mixer for Skeleton-Based Human Motion Prediction0
HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose ForecastingCode0
Intention-based Long-Term Human Motion AnticipationCode0
Imitation Learning for Human Pose Prediction0
Diverse Trajectory Forecasting with Determinantal Point Processes0
Ego-Pose Estimation and Forecasting as Real-Time PD ControlCode0
Action-Agnostic Human Pose ForecastingCode0
MT-VAE: Learning Motion Transformations to Generate Multimodal Human DynamicsCode0
Learning to Forecast and Refine Residual Motion for Image-to-Video GenerationCode0
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