9 papers
Dynamic Black-hole Emission Tomography with Physics-informed Neural Fields
Berthy T. Feng, Andrew A. Chael, David Bromley +3
With the success of static black-hole imaging, the next frontier is the dynamic and 3D imaging of black holes. Recovering the dynamic 3D gas near a black hole would reveal previous…
Position-Blind Ptychography: Viability of image reconstruction via data-driven variational inference
Simon Welker, Lorenz Kuger, Tim Roith +4
In this work, we present and investigate the novel blind inverse problem of position-blind ptychography, i.e., ptychographic phase retrieval without any knowledge of scan positions…
U-DAVI: Uncertainty-Aware Diffusion-Prior-Based Amortized Variational Inference for Image Reconstruction
Ayush Varshney, Katherine L. Bouman, Berthy T. Feng
Ill-posed imaging inverse problems remain challenging due to the ambiguity in mapping degraded observations to clean images. Diffusion-based generative priors have recently shown p…
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences
Hongkai Zheng, Wenda Chu, Bingliang Zhang +9
Plug-and-play diffusion priors (PnPDP) have emerged as a promising research direction for solving inverse problems. However, current studies primarily focus on natural image restor…
Visual Surface Wave Elastography: Revealing Subsurface Physical Properties via Visible Surface Waves
Alexander C. Ogren, Berthy T. Feng, Jihoon Ahn +2
Wave propagation on the surface of a material contains information about physical properties beneath its surface. We propose a method for inferring the thickness and stiffness of a…
STeP: A Framework for Solving Scientific Video Inverse Problems with Spatiotemporal Diffusion Priors
Bingliang Zhang, Zihui Wu, Berthy T. Feng +3
Reconstructing spatially and temporally coherent videos from time-varying measurements is a fundamental challenge in many scientific domains. A major difficulty arises from the spa…