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20142023
most citedLearned D-AMP: Principled Neural Network based Compressive Image Recovery

189 citations · 311 across the 19 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.IV2023★ 3 cited

Snapshot High Dynamic Range Imaging with a Polarization Camera

Mingyang Xie, Matthew Chan, Christopher Metzler

High dynamic range (HDR) images are important for a range of tasks, from navigation to consumer photography. Accordingly, a host of specialized HDR sensors have been developed, the…

cs.CV2023

Seeing the World through Your Eyes

Hadi Alzayer, Kevin Zhang, Brandon Feng +2

The reflective nature of the human eye is an underappreciated source of information about what the world around us looks like. By imaging the eyes of a moving person, we can collec…

cs.CV2023★ 2 cited

SUD: Supervision by Denoising Diffusion Models for Image Reconstruction

Matthew A. Chan, Sean I. Young, Christopher A. Metzler

Many imaging inverse problems$\unicode{x2014}$such as image-dependent in-painting and dehazing$\unicode{x2014}$are challenging because their forward models are unknown or depend on…

cs.CV2023

TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions

Sachin Shah, Sakshum Kulshrestha, Christopher A. Metzler

Point-spread-function (PSF) engineering is a powerful computational imaging techniques wherein a custom phase mask is integrated into an optical system to encode additional informa…

physics.optics2023★ 9 cited

Roadmap on Deep Learning for Microscopy

Giovanni Volpe, Carolina Wählby, Lei Tian +72

Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…