This repository provides the official PyTorch implementation of RootNet, a camera distance-aware approach for 3D multi-person pose estimation published at ICCV 2019. It uses deep neural networks to extract 2D keypoints and estimate absolute depth for root joint localization, enabling 3D pose reconstruction from monocular images. The implementation supports standard pose estimation datasets including Human3.6M, MPII, and MS COCO.