ProceduralImageProgramsforRepresentation Learning

Existing work focuses on ahandful ofcurated generativeprocesses which require expert knowledge to design, making it hard to scale up. To overcome this, we propose training with alarge dataset of twenty-one thousand programs, each one generating adiverse setofsynthetic images.