FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations

Predicted 3D Figure 1 . We propose a novel generative approach to model long-term future human behavior by jointly forecasting a sequence of coarse action labels and their concrete realizations as 3D body poses. For broad applicability, our autoregressive method only requires weak supervision and past observations in the form of 2D RGB video data, together with a database of uncorrelated 3D human poses.