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## 一言でいうと
超解像(SR)のためのRDNを提案。RDNは階層的特徴を全て考慮できる方法。CNNベースのSRモデルが、オリジナルの低解像度(LR)画像から階層的特徴を全て使用するわけではないため、階層的特徴を考慮した。結果、最先端の方法に対して競争力のある性能を発揮した。
### 論文リンク
http://openaccess.thecvf.com/content_cvpr_2018/…
drkii updated
6 years ago
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我使用RTX 3050 4GB运行模型,提示CUDA out of memory. Tried to allocate 72.00 MiB. GPU
我希望通过某种方式限制模型的显存占用应该怎么做?
代码:
pasd = pipeline(Tasks.image_super_resolution_pasd, model='damo/PASD_v2_image_super_resolution…
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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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First of all, congratulate your paper for getting the best ICCV 2019 paper and share your own code. I have some questions that I do n’t understand and I need to ask you. When I implement image s…
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I would like to know what the minimum GPU memory is. I plan to complete a single channel image super-resolution task but don't have 8 GPUs🤣
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https://github.com/pytorch/examples/blob/dcdabc22b305d2f2989c6f03570dfcd3919e8a5b/super_resolution/data.py#L41
I think resizing LANCZOS interpolation is better than default BILINEAR
`Resize(crop_siz…
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Good day Piper! It's great to see such a good work being published and released to the public. We are a [company in Italy](https://www.geodatalab.it/) focusing on GIS and also satellite imagery and fo…
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#CVPR 2018
URL: https://arxiv.org/pdf/1802.08797.pdf
Keyword: SR, Residual Dense Network
Interest: 2
#오랜만의SR #아직도할게남았니 #나도다시한번도전?
> 수치적으로x2는 PSNR 40db에 가까워졌기 때문에, 이제 사람의 눈으로 좋고나쁨을 구별하긴 힘들어 …
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See the image above. I generated the output from fal website. Does this behaves correctly? Thanks!
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Output of this image
![div2k0801](https://github.com/yangxy/PASD/assets/49861565/143bfe86-f90c-4e3d-a107-26828214b3c2)
is
![output0801](https://github.com/yangxy/PASD/assets/49861565/b0e9d3de-2cf4-…