Federated learning (FL) is a privacy-preserving machine learning approach.Recently, gradient inversion attacks have been recognized as a privacy risk in FL.A novel Gradient Inversion attack based on the Style Migration Network (GI-SMN) is proposed.GI-SMN outperforms state-of-the-art gradient inversion attacks and can overcome certain defenses.