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### Model/Pipeline/Scheduler description
The generative priors of pre-trained latent diffusion models have demonstrated great potential to enhance the perceptual quality of image super-resolution (SR…
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Hi,
I think, you might have used this code to test DNN baseline in your and kuleshov's audio resolution paper. Can you tell me how to reproduce exact same results?
I am trying on VCTK corpus wit…
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Hello,
[MSU Video Group](https://videoprocessing.ai/) has recently launched Video Super Resolution Benchmark and evaluated this algorithm.
It takes 2nd place by subjective score, 1st place by PSN…
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Hello,
I've been trying out a super-resolution plugin and it seems it doesn't work .. Superscaling was running very long and eating a lot of resources ... Comparing that with standard gimp resize f…
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Hello,
[MSU Graphics & Media Lab Video Group](https://videoprocessing.ai/) has recently launched Video Super Resolution Benchmark.
We provide a comprehensive comparison of a variety of different VSR…
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If so, could you please give us a demo?
Thanks!
juzuo updated
3 years ago
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**Short Description**
Single-Image Super-Resolution describes the domain of enhancing image resolution for single images (as opposed to groups of images of a scene, for example). Solutions in this do…
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video link: https://youtu.be/ngURBu-ZxVQ
material: [sr_overview.pdf](https://github.com/lamda-lab/reading_group/files/4931389/sr_overview.pdf)
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![Super resolution, edge effects](https://github.com/PUTvision/qgis-plugin-deepness/assets/11333369/8221fd78-4030-438e-b1e7-1fa7526e67d3)
![Road segmentation, edge effects](https://github.com/PUTvi…