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What is Pixel Recursive Super Resolution Model about?

This document introduces Pixel Recursive Super Resolution, a probabilistic deep network architecture for super resolution. The model is an extension of PixelCNNs that can generate diverse, plausible high resolution images at large magnification factors from low resolution inputs. Previous methods fail to produce realistic outputs or fool humans at high magnifications due to the underspecified nature of the problem. The proposed model incorporates strong image priors to synthesize realistic novel details and

Author

Laure Kamalandua

Language

EN