跳到主要导航 跳到搜索 跳到主要内容

A Coarse-to-fine Approach for Fast Super-Resolution with Flexible Magnification

  • Zhichao Fu
  • , Tianlong Ma*
  • , Liang Xue
  • , Yingbin Zheng
  • , Hao Ye
  • , Liang He
  • *此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

We perform fast single image super-resolution with flexible magnification for natural images. A novel coarse-to-fine super-resolution framework is developed for the magnification that is factorized into a maximum integer component and the quotient. Specifically, our framework is embedded with a light-weight upscale network for super-resolution with the integer scale factor, followed by the fine-grained network to guide interpolation on feature maps as well as to generate the super-resolved image. Compared with the previous flexible magnification super-resolution approaches, the proposed framework achieves a tradeoff between computational complexity and performance. We conduct experiments using the coarse-to-fine framework on the standard benchmarks and demonstrate its superiority in terms of effectiveness and efficiency over previous approaches.

源语言英语
主期刊名Proceedings of the 3rd ACM International Conference on Multimedia in Asia, MMAsia 2021
出版商Association for Computing Machinery
ISBN(电子版)9781450386074
DOI
出版状态已出版 - 1 12月 2021
活动3rd ACM International Conference on Multimedia in Asia, MMAsia 2021 - Virtual, Online, 澳大利亚
期限: 1 12月 20213 12月 2021

出版系列

姓名ACM International Conference Proceeding Series

会议

会议3rd ACM International Conference on Multimedia in Asia, MMAsia 2021
国家/地区澳大利亚
Virtual, Online
时期1/12/213/12/21

指纹

探究 'A Coarse-to-fine Approach for Fast Super-Resolution with Flexible Magnification' 的科研主题。它们共同构成独一无二的指纹。

引用此