S. R. R. Antu

GAN-Diff : Coupling Pretrained WGAN-GP Features with Conditional Diffusion U-Nets

A hybrid GAN-guided diffusion framework that uses a pretrained Wasserstein GAN with gradient penalty (WGAN-GP) as a feature prior for conditional diffusion-based image restoration that consistently improves the quality of both degraded and low-resolution images.