Neural Architecture Search for Deep Image Prior

14 Jan 2020Kary HoAndrew GilbertHailin JinJohn Collomosse

We present a neural architecture search (NAS) technique to enhance the performance of unsupervised image de-noising, in-painting and super-resolution under the recently proposed Deep Image Prior (DIP). We show that evolutionary search can automatically optimize the encoder-decoder (E-D) structure and meta-parameters of the DIP network, which serves as a content-specific prior to regularize these single image restoration tasks... (read more)

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