This repository implements the paper Humans in 4D, a transformer-based approach for reconstructing 3D human pose and shape from visual data. The system processes single images or video frames to output SMPL body model parameters and temporal tracking across frames. It provides pretrained model weights and inference code for research and applications requiring 3D human understanding.