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4Pi stimulated Raman scattering for label-free super-resolution chemical imaging. [PDF]

open access: yesSci Adv
Kim JI   +6 more
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Exploiting Diffusion Prior for Real-World Image Super-Resolution

International Journal of Computer Vision, 2023
We 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, 2018
Convolutional 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
semanticscholar   +1 more source

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

ECCV Workshops, 2018
The 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

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