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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
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
Staged Contact-Aware Global Human Motion ForecastingCode0
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion PredictionCode0
Action-Agnostic Human Pose ForecastingCode0
MT-VAE: Learning Motion Transformations to Generate Multimodal Human DynamicsCode0
Ego-Pose Estimation and Forecasting as Real-Time PD ControlCode0
On human motion prediction using recurrent neural networksCode0
Structural-RNN: Deep Learning on Spatio-Temporal GraphsCode0
Intention-based Long-Term Human Motion AnticipationCode0
Convolutional Sequence to Sequence Model for Human DynamicsCode0
Learning to Forecast and Refine Residual Motion for Image-to-Video GenerationCode0
HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose ForecastingCode0
HP-GAN: Probabilistic 3D human motion prediction via GANCode0
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample ObjectiveCode0
The Pose Knows: Video Forecasting by Generating Pose FuturesCode0
Imitation Learning for Human Pose Prediction0
AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations0
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis0
Recurrent Network Models for Human Dynamics0
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction0
Multi-Graph Convolution Network for Pose Forecasting0
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