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The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution

Jul 31, 2018
Muhammad Waleed Gondal, Bernhard Schölkopf, Michael Hirsch

* 19 pages, 14 figures 

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Photorealistic Video Super Resolution

Jul 20, 2018
Eduardo Pérez-Pellitero, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf

* 15 pages 

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Automatic Estimation of Modulation Transfer Functions

May 04, 2018
Matthias Bauer, Valentin Volchkov, Michael Hirsch, Bernhard Schölkopf

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Learning Blind Motion Deblurring

Aug 14, 2017
Patrick Wieschollek, Michael Hirsch, Bernhard Schölkopf, Hendrik P. A. Lensch

* International Conference on Computer Vision (ICCV) (2017) 

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EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis

Jul 30, 2017
Mehdi S. M. Sajjadi, Bernhard Schölkopf, Michael Hirsch

* main paper and supplementary material 

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Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images

Jun 29, 2017
Waleed M. Gondal, Jan M. Köhler, René Grzeszick, Gernot A. Fink, Michael Hirsch

* Accepted in Proc. IEEE International Conference on Image Processing (ICIP), 2017 

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Online Video Deblurring via Dynamic Temporal Blending Network

Apr 11, 2017
Tae Hyun Kim, Kyoung Mu Lee, Bernhard Schölkopf, Michael Hirsch

* 10 pages 

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Discriminative Transfer Learning for General Image Restoration

Mar 27, 2017
Lei Xiao, Felix Heide, Wolfgang Heidrich, Bernhard Schölkopf, Michael Hirsch

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End-to-End Learning for Image Burst Deblurring

Sep 06, 2016
Patrick Wieschollek, Bernhard Schölkopf, Hendrik P. A. Lensch, Michael Hirsch

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Depth Estimation Through a Generative Model of Light Field Synthesis

Sep 06, 2016
Mehdi S. M. Sajjadi, Rolf Köhler, Bernhard Schölkopf, Michael Hirsch

* German Conference on Pattern Recognition (GCPR) 2016 

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Learning to Deblur

Jun 28, 2014
Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf

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On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit

Mar 01, 2013
Stefan Harmeling, Michael Hirsch, Bernhard Schölkopf

* Accepted at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, 2013 

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