WiFi-3D-Fusion applies deep learning models to process WiFi Channel State Information (CSI) signals for 3D human pose estimation, merging wireless sensing with computer vision techniques. The system enables spatial awareness by extracting body keypoint positions from wireless signals rather than traditional camera inputs, targeting research applications in motion sensing.