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Found 2 papers, 2 papers with code
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers
For a known kernel, we design a closed-form correction filter that modifies the low-resolution image to match one which is obtained by another kernel (e. g. bicubic), and thus improves the results of existing pre-trained DNNs.
Image-Adaptive GAN based Reconstruction
In the recent years, there has been a significant improvement in the quality of samples produced by (deep) generative models such as variational auto-encoders and generative adversarial networks.
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