604 citations · 1.1k across the 19 of their papers we have counts for
Showing 2017 · cs.CVShow all
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cs.CV2017★ 254 cited
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
Tim Meinhardt, Michael Moeller, Caner Hazirbas +1
While variational methods have been among the most powerful tools for solving linear inverse problems in imaging, deep (convolutional) neural networks have recently taken the lead…
cs.CV2017★ 6 cited
Deep Depth From Focus
Caner Hazirbas, Sebastian Georg Soyer, Maximilian Christian Staab +2
Depth from focus (DFF) is one of the classical ill-posed inverse problems in computer vision. Most approaches recover the depth at each pixel based on the focal setting which exhib…