Autoregressive Diffusion Model

A generative model variant that combines autoregressive mechanisms with diffusion models. During the reverse denoising process, it introduces conditional dependencies on historical time steps, causing the generated sequence to unfold along the temporal axis, achieving both temporal causal consistency and distributional diversity.