This video explains diffusion models, a type of generative model related to VAEs. They work by reversing a process of adding noise to data, learning to remove noise and generate data. Advantages include simple optimization and diverse data generation. A major drawback is slow generation. The video details DPM, a prominent diffusion model, its improvements (faster generation, deterministic sampling, conditional generation), and its relationship to other models like VAEs and autoregressive models.