1 Proofs Asdescribedinthepaper,ProjectedGANtrainingcanbeformulatedasfollows min

In thissupplementarydocument, we first provethe theorem presented in the paper in Section 1. Section 2 provides additional evaluation metrics for StyleGAN-ADA [12], FastGAN [20], and Projected GAN, andFIDofProjected GAN onninemore datasets. Section 4 reports additional experiments. Lastly, we provide details on training configurations, hyperparameters, and compute in Section 5. The supplementary videos show interpolations between random samples of Projected GAN on all datasets. Code, models, and supplementary videos can be found on the project page https://sites.