Amortised MAP Inference for Image Super-resolution — mentioned by fhuszar

Mon, 14 Nov 2016 23:24:26 GMT

Some of the deeper - and wider - convolutional neural network-based SR methods do this, implicitly. We have a few papers, like SRGAN (https://arxiv.org/abs/1609.04802) or AffGAN (https://arxiv.org/abs/1610.04490) that generate pretty interesting context-aware textures. Sophisticated hallucination of missing details comes at a cost: As one would expect, in some cases the algorithm guesses incorrectly. See for example Figure 5 of AffGAN paper, column 3: when superresolving an image of a snake, the algorithm mistakenly thought it's a body of water, and produces textures accordingly. Overall we…

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Amortised MAP Inference for Image Super-resolution · HackerPapers discussions

Amortised MAP Inference for Image Super-resolution — mentioned by fhuszar