Pose-Forecasting Aided Human Video Prediction With Graph Convolutional Networks

Pose-Forecasting Aided Human Video Prediction With Graph Convolutional Networks

Human video prediction is still a challenging problem due to the uncertainty of future actions and complexity of frame details. Recent methods tackle this problem in two steps: firstly to forecast future human poses from the initial ones, and then to generate realistic frames conditioned on predicte...

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Bibliographic Details
Main Authors: Yang Zhao, Yong Dou
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Human video prediction
GCN
GAN
temporal discriminator
stacked residual refinment
Online Access:https://ieeexplore.ieee.org/document/9095287/

Internet

https://ieeexplore.ieee.org/document/9095287/

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