Hierarchical Denoising For Multi-Step Visual Reasoning

HDR implements a tree-structured hierarchy of video latents to enable multi-step reasoning within causal diffusion models. By utilizing coarse denoising layers to maintain global planning hypotheses before executing fine-grained streaming output, the framework balances logical consistency with the low-latency requirements of autoregressive video generation.