Human Pose Forecasting

31 papers with code • 4 benchmarks • 4 datasets

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

( Image credit: EgoPose )

Most implemented papers

On human motion prediction using recurrent neural networks

una-dinosauria/human-motion-prediction CVPR 2017

Human motion modelling is a classical problem at the intersection of graphics and computer vision, with applications spanning human-computer interaction, motion synthesis, and motion prediction for virtual and augmented reality.

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.

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

Nat-D/GMVAE 8 Nov 2016

We study a variant of the variational autoencoder model (VAE) with a Gaussian mixture as a prior distribution, with the goal of performing unsupervised clustering through deep generative models.

HP-GAN: Probabilistic 3D human motion prediction via GAN

ebarsoum/hpgan 27 Nov 2017

Our model, which we call HP-GAN, learns a probability density function of future human poses conditioned on previous poses.

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.

Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

droliven/diverse_sampling 15 Jul 2022

In this paper, we propose a novel sampling strategy for sampling very diverse results from an imbalanced multimodal distribution learned by a deep generative model.

The Pose Knows: Video Forecasting by Generating Pose Futures

KMarino/MMD_evalcode ICCV 2017

First we explicitly model the high level structure of active objects in the scene---humans---and use a VAE to model the possible future movements of humans in the pose space.

Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective

apratimbhattacharyya18/CGM_BestOfMany 20 Jun 2018

For autonomous agents to successfully operate in the real world, anticipation of future events and states of their environment is a key competence.

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.