Human Pose Forecasting

6 papers with code • 1 benchmarks • 2 datasets

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

( Image credit: EgoPose )


Greatest papers with code

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

asheshjain399/RNNexp CVPR 2016

The proposed method is generic and principled as it can be used for transforming any spatio-temporal graph through employing a certain set of well defined steps.

Human Pose Forecasting Skeleton Based Action Recognition

Learning Trajectory Dependencies for Human Motion Prediction

wei-mao-2019/LearnTrajDep ICCV 2019

In this paper, we propose a simple feed-forward deep network for motion prediction, which takes into account both temporal smoothness and spatial dependencies among human body joints.

Human motion prediction Human Pose Forecasting +2

Ego-Pose Estimation and Forecasting as Real-Time PD Control

Khrylx/EgoPose ICCV 2019

We propose the use of a proportional-derivative (PD) control based policy learned via reinforcement learning (RL) to estimate and forecast 3D human pose from egocentric videos.

Egocentric Pose Estimation Human Pose Forecasting +1

DLow: Diversifying Latent Flows for Diverse Human Motion Prediction

Khrylx/DLow ECCV 2020

To obtain samples from a pretrained generative model, most existing generative human motion prediction methods draw a set of independent Gaussian latent codes and convert them to motion samples.

Human motion prediction Human Pose Forecasting +1

Learning to Forecast and Refine Residual Motion for Image-to-Video Generation

garyzhao/FRGAN ECCV 2018

We consider the problem of image-to-video translation, where an input image is translated into an output video containing motions of a single object.

Human Pose Forecasting Video Generation

Action-Agnostic Human Pose Forecasting

eddyhkchiu/pose_forecast_wacv 23 Oct 2018

In this paper, we propose a new action-agnostic method for short- and long-term human pose forecasting.

Hierarchical structure Human Dynamics +1