Generating Videos with Scene Dynamics

Understand

We capitalize on large amounts of unlabeled video in order to learn a model of scene dynamics for both video recognition tasks (e.g.

• action classification) and video generation tasks (e.g.
• future prediction).
• We propose a generative adversarial network for video with a spatio-temporal convolutional architecture that untangles the scene's foreground from the background.