Amortised MAP Inference for Image Super-resolution

14 Oct 2016Casper Kaae SønderbyJose CaballeroLucas TheisWenzhe ShiFerenc Huszár

Image super-resolution (SR) is an underdetermined inverse problem, where a large number of plausible high-resolution images can explain the same downsampled image. Most current single image SR methods use empirical risk minimisation, often with a pixel-wise mean squared error (MSE) loss... (read more)

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