Yingzhi Xia

Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning

Diffusion models (DMs) have recently shown remarkable performance on inverse problems (IPs). Optimization-based methods can fast solve IPs using DMs as powerful regularizers, but it is susceptible to local minima and noise overfitting. Although DMs can provide strong priors for Bayesian approaches,…