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Mar, 2016
用于实时风格转换和超分辨率的感知损失
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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Justin Johnson, Alexandre Alahi, Li Fei-Fei
TL;DR
该研究探讨了一种使用感知损失函数训练卷积神经网络进行图像转换任务的方法,在图像风格迁移和单一图像超分辨率方面获得了较好的实验结果。
Abstract
We consider
image transformation
problems, where an input image is transformed into an output image. Recent methods for such problems typically train feed-forward
convolutional neural networks
using a \emph{per-p
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