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I am using a widescreen monitor with a 2560x1080 UWFHD resolution which obviously won't fit for a Philips 65OLED804 TV. So i want to use ResolutionAutomation to "fix" this. Without using this tool , i…
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请问你复现了这篇论文了 吗,我的联系方式QQ:27512882,我有一些问题想请教一下你。
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### 論文へのリンク
[[arXiv:2004.00448] Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy](https://arxiv.org/abs/2004.00448)
### 著者・所属機関
Jaejun Yoo,…
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I downloaded the repo as well as the pretrained model,trying to test the model.But I found that the size of the output image is the same as the input,and I think the resolution has no improvement.This…
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When I super-resolution a 1024 * 1024 image into 4096 * 4096, I used 70GB of GPU memory and spent 18 minutes, which seems to contradict the advantages stated in the paper. I wonder if this is normal?
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Just wondering?
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Could you add this new architecture for blind super-resolution? It looks very promising. (I'm not sure if the project is 100% complete, but the code and models are available)
**CDFormer: When Degrad…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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Hello. nice to meet you. I am studying super_resolution by using neural network.
I am applying for the grayscale image by using your "2016_super_resolution".
When I use your mat-file, net-epoch-4.ma…