Deep Adaptive Inference Networks for Single Image Super-Resolution

ECCV Workshops, pp. 131-148, 2020.

Cited by: 0|Bibtex|Views59|DOI:https://doi.org/10.1007/978-3-030-66823-5_8
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Other Links: arxiv.org|dblp.uni-trier.de

Abstract:

Recent years have witnessed tremendous progress in single image super-resolution (SISR) owing to the deployment of deep convolutional neural networks (CNNs). For most existing methods, the computational cost of each SISR model is irrelevant to local image content, hardware platform and application scenario. Nonetheless, content and reso...More

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