1 INTRODUCTION  
2 PROBLEM DEFINITION AND OVERVIEW  
3 PRELIMINARIES  
3.1 GAN Models and Datasets  
3.2 Evaluation Metrics  
4 GAN INVERSION METHODS  
4.1 Which Space to Embed - From $\mathcal{Z}$ Space to $\mathcal{P}$ Space  
4.2 GAN Inversion Methods  
4.3 Properties of GAN Inversion Methods  
4.4 Latent Space Navigation  
5 APPLICATIONS  
6 CHALLENGES AND FUTURE DIRECTIONS  
7 CONCLUSION