N-HMC performs posterior sampling entirely in the initial noise space of diffusion models to solve inverse problems more robustly, with NA-NHMC adapting to unknown noise levels and outperforming prior methods on multiple tasks.
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Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning
N-HMC performs posterior sampling entirely in the initial noise space of diffusion models to solve inverse problems more robustly, with NA-NHMC adapting to unknown noise levels and outperforming prior methods on multiple tasks.