1 Introduction  
2 Models  
2.1 Pix2Pix  
2.2 CycleGAN  
2.3 CoGAN  
2.4 StarGAN  
2.5 MUNIT  
2.6 StarGAN2  
2.7 Deep Attention GAN  
2.8 Img2Img SA  
3 Metrics  
4 Datasets  
5 Results  
5.1 Methods  
5.2 Analysis  
6 Conclusion