Is it possible to enlarge the dataset using generative networks?

I need to train a detector of different (>10) ways of damages to a figurine (ripped arm, missing eye, scratches on the body etc.). Each type of damage is a specified class. The dataset i currently have provides thousands of photos for 1 class and less then a hundred for others. My question is - is there a way to enlarge said classes using generative networks, which take \~50 existing images as input and outputs >1000 (yes, I am sane) …

arm class computervision dataset etc generative networks photos train type