Image style migration model training method, system and device and storage medium

The invention discloses a training method, system and device of an image style migration model and a storage medium. Three parts of losses are designed to train the image style migration model: 1) the optimal balance of a generator and a discriminator can be achieved through the total confrontation loss; the method has the advantages that the method is simple, the reconstruction effect of the generator can be guaranteed through the total circulation consistency loss, the fidelity degree of the output image of the generator can be improved through the comparison loss, the image style migration model is trained by integrating the three losses, the image style migration capability can be improved, and the better image after style migration can be obtained. 本发明公开了一种图像风格迁移模型的训练方法、系统、设备及存储介质，设计了三部分损失对图像风格迁移模型进行训练：1）通过总的对抗损失可以达到生成器和判别器的最优平衡；2）通过总的循环一致性损失可以保证生成器的重建效果；3）通过对比损失可以提升生成器的输出图像的逼真程度。综合以上三部分损失对图像风格迁移模型进行训练，能够提升图像风格迁移的能力，获得更好的风格迁移后的图像。