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Single Image Super-Resolution Using ConvNeXt
2022 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2022Chenghui You +3 more
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Rectified Binary Network for Single-Image Super-Resolution
IEEE Transactions on Neural Networks and Learning SystemsBinary neural network (BNN) is an effective approach to reduce the memory usage and the computational complexity of full-precision convolutional neural networks (CNNs), which has been widely used in the field of deep learning. However, there are different properties between BNNs and real-valued models, making it difficult to draw on the experience of ...
Jingwei Xin +5 more
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Real-world single image super-resolution: A brief review
Information Fusion, 2022Honggang Chen, Xiaohai He, Linbo Qing
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Single-image super-resolution enhancement mechanism
AIP Conference Proceedings, 2022P. V. Pramila +4 more
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Single-molecule localization microscopy
Nature Reviews Methods Primers, 2021Mickael Lelek +2 more
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Memory-efficient single-image super-resolution
Big Data IV: Learning, Analytics, and Applications, 2022Nicholas Chiapputo, Colleen P. Bailey
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Single Image Super Resolution Using AI Generated Images
Image super-resolution has become increasingly important in various applications because of their demand for producing high output images from the low input images. Earlier for the image enhancements techniques like deblurring were performed to get the quality image.Khan, Faisal Rasheed +2 more
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SRDiff: Single image super-resolution with diffusion probabilistic models
Neurocomputing, 2022exaly
Exploring bacterial cell biology with single-molecule tracking and super-resolution imaging
Nature Reviews Microbiology, 2013Andreas Gahlmann
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