8 papers
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…
Uncertainty-quantified Pulse Signal Recovery from Facial Video using Regularized Stochastic Interpolants
Vineet R. Shenoy, Cheng Peng, Rama Chellappa +1
Imaging Photoplethysmography (iPPG), an optical procedure which recovers a human's blood volume pulse (BVP) waveform using pixel readout from a camera, is an exciting research fiel…
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…
End-to-end reconstruction of OCT optical properties and speckle-reduced structural intensity via physics-based learning
Jinglun Yu, Yaning Wang, Wenhan Guo +3
Inverse scattering in optical coherence tomography (OCT) seeks to recover both structural images and intrinsic tissue optical properties, including refractive index, scattering coe…
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…