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4Pi stimulated Raman scattering for label-free super-resolution chemical imaging. [PDF]
Kim JI +6 more
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Erratum: Deep learning-based super-resolution method for projection image compression in radiotherapy. [PDF]
Editorial Office.
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Super-Resolution pedestrian re-identification method based on bidirectional generative adversarial network. [PDF]
Wang Y, Wu Y.
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Exploiting Diffusion Prior for Real-World Image Super-Resolution
International Journal of Computer Vision, 2023We present a novel approach to leverage prior knowledge encapsulated in pre-trained text-to-image diffusion models for blind super-resolution. Specifically, by employing our time-aware encoder, we can achieve promising restoration results without ...
Jianyi Wang +4 more
semanticscholar +1 more source
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
European Conference on Computer Vision, 2018Convolutional neural network (CNN) depth is of crucial importance for image super-resolution (SR). However, we observe that deeper networks for image SR are more difficult to train.
Yulun Zhang +5 more
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ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
ECCV Workshops, 2018The Super-Resolution Generative Adversarial Network (SRGAN) is a seminal work that is capable of generating realistic textures during single image super-resolution. However, the hallucinated details are often accompanied with unpleasant artifacts.
Xintao Wang +8 more
semanticscholar +1 more source

