Human Pose Forecasting
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Benchmarks
Most implemented
On human motion prediction using recurrent neural networks
Learning Trajectory Dependencies for Human Motion Prediction
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
HP-GAN: Probabilistic 3D human motion prediction via GAN
Papers
Emotion-Conditioned Short-Horizon Human Pose Forecasting with a Lightweight Predictive World Model
Short-term human pose prediction plays a crucial role in interactive systems, assistive robots, and emotion-aware human-computer interaction[1-3]. While current trajectory prediction models primarily rely on geometric mo…
Human Pose ForecastingTrajectory PredictionPose PredictionScriboora: Rethinking Human Pose Forecasting
Human pose forecasting predicts future poses based on past observations, and has many significant applications in areas such as action recognition, autonomous driving or human-robot interaction. This paper evaluates a wi…
Human Pose ForecastingAction RecognitionAutonomous DrivingPose EstimationMotionMap: Representing Multimodality in Human Pose Forecasting
Human pose forecasting is inherently multimodal since multiple futures exist for an observed pose sequence. However, evaluating multimodality is challenging since the task is ill-posed. Therefore, we first propose an alt…
Human Pose ForecastingEgoCast: Forecasting Egocentric Human Pose in the Wild
Accurately estimating and forecasting human body pose is important for enhancing the user's sense of immersion in Augmented Reality. Addressing this need, our paper introduces EgoCast, a bimodal method for 3D human pose …
Human Pose ForecastingMotion EstimationPose EstimationMulti-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning
Human pose forecasting garners attention for its diverse applications. However, challenges in modeling the multi-modal nature of human motion and intricate interactions among agents persist, particularly with longer time…
Human Pose ForecastingExploring 3D Human Pose Estimation and Forecasting from the Robot's Perspective: The HARPER Dataset
We introduce HARPER, a novel dataset for 3D body pose estimation and forecast in dyadic interactions between users and Spot, the quadruped robot manufactured by Boston Dynamics. The key-novelty is the focus on the robot'…
3D Human Pose EstimationHuman Pose ForecastingPose Estimation