Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis

Neural Information Processing Systems 

While diffusion models have demonstrated exceptional image generation capabilities, the iterative noise estimation process required for these models is compute-intensive and their practical implementation is limited by slow sampling speeds.

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