Depth as Time in One-Step Generative Models
The recent wave of one-step generative models, which compress the multi-step trajectory of diffusion via either distillation or learned flow maps, has reached an inflection point where they can generate high-quality images. Here, we ask a natural question that follows from these advances: what happens to the denoising trajectory of multi-step diffusion when generation is compressed into a single…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
