Weakly Supervised 3D Human Pose Estimation

Weakly-supervised 3D human pose estimation is an important sub-task in the field of computer vision, aiming to improve the accuracy and robustness of 3D human pose estimation by optimizing algorithms and leveraging multi-modal learning with limited 3D annotated data. This task not only reduces the need for large-scale labeled data but also effectively enhances the model's generalization capability in complex environments, offering broad application prospects such as virtual reality, motion analysis, and human-computer interaction.