U-Chae Jun

Generative Adversarial Diffusion

We introduce a novel generative framework that unifies adversarial and diffusion-based training to overcome the limitations of conventional models. Our approach, termed Generative Adversarial Diffusion (GAD), integrates an adversarial loss directly into each denoising step of a latent diffusion mode…