The GANs are backdooring their way into really interesting outcomes, though. They're fantastic for compression: You compress the hell out of an input image or a

The GANs are backdooring their way into really interesting outcomes, though. They're fantastic for compression: You compress the hell out of an input image or audio, then use the compressed features as conditioning for the GAN. This works great for super-resolution on images and speech compression. eg, for speech compression: https://arxiv.org/abs/2107.03312 https://arxiv.org/abs/2107.03312