This website illustrates the two pose generation methods, geometric and data-driven. Several maps derived from the iGibson simulation environment are provided. These environments contain simulated social contexts with one to six existing individuals.

To generate a pose, you can select an environment map and the number of generated poses. The social context is chosen randomly from the simulated dataset on the selected environment map. Single pose predictions are plotted directly. When a distribution of poses is predicted, we search for a mode of the predicted locations using mean shift, and output the pose in the distribution that is closest to the mode.

Parameter Selection