Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance 事件

Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance arXiv:2601.22443v2 Announce Type: replace-cross Abstract: Can a diffusion model trained on bedrooms recover human faces? Diffusion models are widely used as priors for inverse problems, but standard approaches usually assume a high-fidelity model trained on data that closely match the unknown signal. In practice, one often must use a mismatched or low-fidelity diffusion prior. Surprisingly, these weak priors often perfor