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Information × Registration Number 2119U006543, Article popup.category Препринт Title Multi-task learning for image restoration (AI translated) popup.author Martyniuk TetianaMartyniuk Tetiana popup.publication 01-01-2019 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/1332 popup.publisher Description We present an efficient end-to-end pipeline for general image restoration. The setting has a generic encoder and separate decoders so that our model can benefit from the shared low-level feature representations between the tasks. We also introduce the new architecture for the generator inspired by the feature pyramid networks for dealing with multi-scale degradations. We train the models for solving three particular image restoration problems: deblurring, dehazing, and raindrop removal. popup.nrat_date 2025-11-05 Close