Video LDM

Video Latent Diffusion Models (LDMs) are a class of generative models aiming to create high-quality videos, often conditioned on text or other modalities, by leveraging the efficiency of diffusion processes in a compressed latent space. Current research focuses on improving temporal coherence, incorporating multi-modal information (e.g., audio, text), and adapting pre-trained image LDMs for video editing and generation tasks. These advancements are significant for applications ranging from realistic video synthesis and editing to data augmentation for scientific simulations and medical image enhancement, offering improvements in both speed and quality compared to previous methods.