12 citations · 40 across the 16 of their papers we have counts for
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eess.IV2023
Provable Probabilistic Imaging using Score-Based Generative Priors
Yu Sun, Zihui Wu, Yifan Chen +2
Estimating high-quality images while also quantifying their uncertainty are two desired features in an image reconstruction algorithm for solving ill-posed inverse problems. In thi…
cs.CV2023★ 1 cited
Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior
Berthy T. Feng, Katherine L. Bouman
We propose a surrogate function for efficient yet principled use of score-based priors in Bayesian imaging. We consider ill-posed inverse imaging problems in which one aims for a c…
cs.CV2023★ 3 cited
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Berthy T. Feng, Jamie Smith, Michael Rubinstein +3
Priors are essential for reconstructing images from noisy and/or incomplete measurements. The choice of the prior determines both the quality and uncertainty of recovered images. W…