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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
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal AnchorsCode1
HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose ForecastingCode0
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion PredictionCode1
A generic diffusion-based approach for 3D human pose prediction in the wildCode1
Contact-aware Human Motion ForecastingCode1
SoMoFormer: Multi-Person Pose Forecasting with TransformersCode1
Pose Forecasting in Industrial Human-Robot CollaborationCode1
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary SpaceCode1
Back to MLP: A Simple Baseline for Human Motion PredictionCode1
MotionMixer: MLP-based 3D Human Body Pose ForecastingCode1
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion PredictionCode1
Intention-based Long-Term Human Motion AnticipationCode0
Space-Time-Separable Graph Convolutional Network for Pose ForecastingCode1
Generating Smooth Pose Sequences for Diverse Human Motion PredictionCode1
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion PredictionCode1
Robust Motion In-betweeningCode2
DLow: Diversifying Latent Flows for Diverse Human Motion PredictionCode1
Imitation Learning for Human Pose Prediction0
Learning Trajectory Dependencies for Human Motion PredictionCode1
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
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample ObjectiveCode0
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