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ACM Multimedia 2023: DocDiff: Document Enhancement via Residual Diffusion Models. Also contains 1597 red seals in Chinese scenes, along with their corresponding binary masks.

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Hi, I would like to get the download links for the dataset(Document Deblurring dataset). The link provided for the paper Convolutional neural networks for direct text deblurring is not working!...

我采用这个模型进行印章消除的训练,训练过程中一共50000个iteration,在训练过程中输出的图片能够达到我想要的效果,但是在推理的过程中生成的图片并不能达到我想要的效果。 ![image](https://github.com/user-attachments/assets/2720777f-0ae2-4eff-8bb2-6bb692adaf81) 这是训练过程中的图片 我采用第50000个iteration产生的模型进行推理,得到的效果图如图所示 ![0828_0](https://github.com/user-attachments/assets/2448ad87-680c-47fa-a68e-32c84a81b399) 请问为什么会产生这样的问题?我应该怎么进行调整呢?

报错是RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 176 but got size 175 for tensor number 1 in the list. 是什么问题呢? 如果我想推理图片应该如何去弄

the website https://www.aibupt.com/ seems like down ![image](https://github.com/user-attachments/assets/1d7e4fd7-d73b-4fbd-b6d0-65b049c5799a)

I would like to ask about my current task, which involves recognizing blurred shipping labels. The dataset I am using is self-generated using a blur generation algorithm on clear shipping...

Is there code for inference for individually blurred images? Or does the inference need to be for both the blurred image and Groundtruth?