High-Resolution Image Synthesis with Latent Diffusion Models

Latent Diffusion Models (LDMs) offer a new approach to image synthesis by performing diffusion processes in the latent space of pre-trained autoencoders. This method reduces computational complexity and preserves high-quality details, achieving state-of-the-art results in image generation and various conditional tasks by leveraging semantic information learned in the latent space.