Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations
Guanghao Yin,
Wei Wang,
Zehuan Yuan
et al.
Abstract:Although single-image super-resolution (SISR) methods have achieved great success on single degradation, they still suffer performance drop with multiple degrading effects in real scenarios. Recently, some blind and non-blind models for multiple degradations have been explored. However, those methods usually degrade significantly for distribution shifts between the training and test data. Towards this end, we propose a conditional meta-network framework (named CMDSR) for the first time, which helps SR framewor… Show more
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