1 INTRODUCTION  

2 OVERVIEW OF DATA AUGMENTATION METHODS  

3 TAXONOMY OF SYNTHETIC DATA AUGMENTATION METHODS  

4 GENERATIVE MODELING  

5 COMPUTER GRAPHICS MODELING  

6 NEURAL RENDERING  

7 NEURAL STYLE TRANSFER  

8 SYNTHETIC DATASETS  

9 EFFECTIVENESS OF SYNTHETIC DATA AUGMENTATION METHODS  

10 SUMMARY AND DISCUSSION  

11 FUTURE RESEARCH DIRECTIONS  

12 CONCLUSION