Procedural Human Action Videos

Procedural Generation of Videos to Train Deep Action Recognition Networks

This work proposes an interpretable parametric generative model of human action videos that relies on procedural generation and other computer graphics techniques of modern game engines, and generates a diverse, realistic, and physically plausible dataset of humanaction videos, called PHAV for Procedural Human Action Videos.