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POSA: Populating 3D Scenes by Learning Human-Scene Interaction
POSA takes a 3D body and automatically places it in a 3D scene in a semantically meaningful way. This repository contains the training, random sampling, and scene population code used for the experiments in POSA. The code defines a novel representation of human-scene-interaction that is body centric. This can be exploited for 3D human tracking from video to model likely interactions between a body and the scene.