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This article presents a deep learning-based approach for WiFi-based dense pose estimation, which enables accurate and robust human pose tracking using only wireless signals. The proposed method leverages the unique propagation properties of wireless signals to capture detailed body shape and pose information, making it a promising technology for various applications, including human-computer interaction and activity monitoring.