KBStyle : Fast Style Transfer Using a 200 KB Network With Symmetric Knowledge Distillation

Convolutional Neural Networks (CNNs) have achieved remarkable progress in arbitrary artistic style transfer. However, the model size of existing state-of-the-art (SOTA) style transfer algorithms is immense, leading to enormous computational costs and memory demand. It makes real-time and high resolu...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2023) vom: 29., Seite 82-94
1. Verfasser:	Chen, Wenshu (VerfasserIn)
Weitere Verfasser:	Huang, Yujie, Wang, Mingyu, Wu, Xiaolin, Zeng, Xiaoyang
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article