A Coarse-to-fine Approach for Fast Super-Resolution with Flexible Magnification
Article No.: 34, Pages 1 - 5
Abstract
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.
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- A Coarse-to-fine Approach for Fast Super-Resolution with Flexible Magnification
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Published In
December 2021
508 pages
ISBN:9781450386074
DOI:10.1145/3469877
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Published: 10 January 2022
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- Short-paper
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- Refereed limited
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- Science and Technology Commission of Shanghai Municipality
- National Archives Administration of China
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MMAsia '21
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