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...
Arnold Caleb Asiimwe, William Yang, Sanghyuk Chun et al.
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