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11/16/2021
Image-specific Convolutional Kernel Modulation for Single Image Super-resolution
Recently, deep-learning-based super-resolution methods have achieved exc...
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03/29/2021
Transitive Learning: Exploring the Transitivity of Degradations for Blind Super-Resolution
Being extremely dependent on the iterative estimation and correction of ...
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09/28/2020
Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution
Benefiting from the strong capabilities of deep CNNs for feature represe...
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11/18/2019
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results
This paper reviews the AIM 2019 challenge on real world super-resolution...
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10/08/2018
Modelling brain-wide neuronal morphology via rooted Cayley trees
Neuronal morphology is an essential element for brain activity and funct...
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09/28/2018
Channel-wise and Spatial Feature Modulation Network for Single Image Super-Resolution
The performance of single image super-resolution has achieved significan...
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02/24/2018
