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I don't understand how to use it #33
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Sorry I don't really understand your question. |
My task is to add noise to an image and then remove it. I hope to use this project to complete the task of denoising. |
Sorry for that I did not implement the code for denoising. |
I wish to use DnCNN based denoising method. |
The translation may be a bit strange, please forgive me, I am a Chinese college student and was assigned a task that I don't quite understand.ヾ(•ω•`)o |
You can take a look at https://github.com/cszn/KAIR, where you should find most model checkpoints available |
Perfect. I used dncnn in KAIR. It meets my requirements and outputs denoised pictures. Thank you very much. |
Can you help me? I'm having trouble running the code。 |
发生了什么问题,让我试试 |
使用说明.pdf If you want to quickly use the denoising method in the KAIR project, I have attached an instruction manual compiled for my classmates who use computers less. |
请问ffhq_10m数据怎么下载呢?文档里的链接我打开不了,用bash download.sh只下载下来了256x256_diffusion_uncond.pt(ILSVRC 2012 subset of ImageNet)这个 |
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你好,我的需求是用一种基于训练好的去噪扩散模型求解图像反问题(比如图像恢复),这篇文章是做的这个吗,我有一点懵 |
DiffPIR项目是基于去噪扩散模型的图像恢复任务,应该是符合你的要求 |
This project is great and I used it quickly, but I see that the output is logging model parameters.
I think I may have understood something wrong. I put a blurred picture in the test data. I thought the output would be a denoised picture. So, to achieve my expectation, should I use the DDNM mentioned in the previous question?
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