2 papers
cs.LG2026
Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance
Jing Jia, Wei Yuan, Sifan Liu +2
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-fideli…
cs.LG2026
Beyond Accuracy: Evaluating Posterior Fidelity of Diffusion Inverse Solvers
Xiaoyu Qiu, Taewon Yang, Zhanhao Liu +2
Uncertainty evaluation is critical in scientific and engineering inverse problems. However, existing benchmarks on Diffusion Inverse Solvers (DIS) primarily focus on reconstruction…