BriefGPT.xyz
Nov, 2015
使用深度卷积充分统计量进行超分辨率
Super-Resolution with Deep Convolutional Sufficient Statistics
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Joan Bruna, Pablo Sprechmann, Yann LeCun
TL;DR
本文提出了一种基于Gibbs分布的条件模型,其充分统计量由深度卷积神经网络给出,用于图像超分辨率问题,并证明了该方法可在其他具有挑战性的不适定问题中使用,例如音频带宽扩展。
Abstract
inverse problems
in image and audio, and
super-resolution
in particular, can be seen as high-dimensional
structured prediction
problems, w
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