2024
E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
ICML 2024poster
One highly promising direction for enabling flexible real-time on-device image editing is utilizing data distillation by leveraging large-scale text-to-image diffusion models to generate paired datasets used for training generative adversarial networks (GANs). This approach notably alleviates the st…