Tear the Image Into Strips for Style Transfer

Recently, Deep Convolutional Neural Networks (DCNNs) have achieved remarkable progress in computer vision community, including in style transfer tasks. Normally, most methods feed the full image to the DCNN. Although high-quality results can be achieved in this manner, several underlying problems ar...

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Veröffentlicht in:	IEEE transactions on multimedia 2022, Vol.24, p.3978-3988
Hauptverfasser:	Huang, Yujie, Liu, Yuhao, Jing, Minge, Zeng, Xiaoyang, Fan, Yibo
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Computer vision Correlation Deep Learning Image quality Image resolution Image Signal Processor Machine learning Memory management Microprocessors Pipelines Power consumption Signal processing Signal processing algorithms Strip Strips Style Transfer Task analysis
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