AbstractIn this work, we study how the performance and evaluation of generative image models are impacted by racial composition their training datasets. By examining controlling distributions in various datasets, able to observe impacts different on generated quality images. Our results show that compositions images successfully preserve data. However, truncation, a technique used generate high...