Latent Denoising Diffusion GAN: Faster Sampling, Higher Image Quality
Diffusion models are emerging as powerful solutions for generating high-fidelity and diverse images, often surpassing GANs under many circumstances.However, their slow inference speed hinders their potential for real-time applications.To address this, DiffusionGAN leveraged a conditional GAN to drastically reduce the denoising steps and speed up in