better results if you include class labels we see here that plug-and-play generative models don't make nearly as recognized full of images if we generate samples without the class we also see that the adversarial loss is a really important component of this new system if you look at the reconstructions of the denoising auto-encoder we begin on the left with the raw data in the middle we share the reconstructed image and on the right we show the reconstruction that you get if you train the model without the adversarial Network loss so adversarial