A flow-based multi-scale learning network for single image stochastic super-resolution

Author:

Wu QianyuORCID,Hu Zhongqian,Zhu Aichun,Tang Hui,Zou Jiaxin,Xi Yan,Chen YangORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference52 articles.

1. Loss functions for image restoration with neural networks;Zhao;IEEE Trans. Comput. Imaging,2017

2. Perceptual losses for real-time style transfer and super-resolution;Johnson,2016

3. EnhanceNet: Single image super-resolution through automated texture synthesis;Sajjadi,2017

4. Unsupervised single image super-resolution network (USisResNet) for real-world data using generative adversarial network;Prajapati,2020

5. Detection of solder paste defects with an optimization based deep learning model using image processing techniques;Sezer,2021

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