2 papers
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…
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…