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Kernel Modeling Super-Resolution on Real Low-Resolution Images
Ruofan Zhou Sabine Süsstrunk
Image and Visual Representation Lab
École Polytechnique Fédérale de Lausanne
- Supplementary Material -
project page

1. X4 SR results 2. Psychovisual experiment 3. SR examples on real images 4. Experiments on zoom in SR 5. Visualization of kernels

This page shows super-resolution results of EDSR[1], DBPN[2] and our proposed KMSR on real low-resolution images from DPED[3]. You can click the buttons below the image to switch between the results from different methods. The zoom-in window can be dragged to view the details of different part of the image.

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Reference:
[1] Lim Bee, Son Sanghyun, Kim Heewon, Nah Seungjun. Lee Kyoung Mu. "Enhanced Deep Residual Networks for Single Image Super-Resolution", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017
[2] Haris Muhammad, Shakhnarovich Greg, Ukita Norimichi. "Deep Back-Projection Networks for Super-Resolution", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[3] Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey and Luc Van Gool. "DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks", in IEEE International Conference on Computer Vision (ICCV), 2017