6 papers · 1 filter
ScoreField: Neural Inverse Scattering with Score-Based Generative Priors
Wenhan Guo, Yuan Gao, Yu Sun
Designing an effective electromagnetic inverse-scattering solver requires faithful enforcement of nonlinear full-wave physics together with an expressive prior on the unknown permi…
VOLT: Volumetric Wide-Field Microscopy via 3D-Native Probabilistic Transport
Yetao He, Wenhan Guo, Deliang Wei +3
Three-dimensional (3D) wide-field fluorescence microscopy is a widely used modality for volumetric imaging, but suffers from characteristic out-of-focus blur. Existing reconstructi…
Super-Resolution and Denoising of Corneal B-Scan OCT Imaging Using Diffusion Model Plug-and-Play Priors
Yaning Wang, Jinglun Yu, Wenhan Guo +4
Optical coherence tomography (OCT) is pivotal in corneal imaging for both surgical planning and diagnosis. However, high-speed acquisitions often degrade spatial resolution and inc…
PSI3D: Plug-and-Play 3D Stochastic Inference with Slice-wise Latent Diffusion Prior
Wenhan Guo, Jinglun Yu, Yaning Wang +2
Diffusion models are highly expressive image priors for Bayesian inverse problems. However, most diffusion models cannot operate on large-scale, high-dimensional data due to high t…
Super-Resolution Optical Coherence Tomography Using Diffusion Model-Based Plug-and-Play Priors
Yaning Wang, Jinglun Yu, Wenhan Guo +2
We propose an OCT super-resolution framework based on a plug-and-play diffusion model (PnP-DM) to reconstruct high-quality images from sparse measurements (OCT B-mode corneal image…
Neural Inverse Scattering with Score-based Regularization
Yuan Gao, Wenhan Guo, Yu Sun
Inverse scattering is a fundamental challenge in many imaging applications, ranging from microscopy to remote sensing. Solving this problem often requires jointly estimating two un…