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**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 20.04, WSL2): macOS Big Sur
- Target (e.g. desktop cpu, android arm64): desktop cpu & ios arm64
- Bazel version: 3.7.2
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Hi, your MPRNet is excellent. I also work on image deblurring tasks, but have been struggling to design a good loss function. I'm wondering that could you write some example of train.py, and I'm also …
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Hello, thank you for your contribution. Can adaIN be applied to other network structures? Can adaIN be used in deblurring network without coding-decoding structure?
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Dear Dr. Abdullah:
Hi. I have read your paper and thanks for your work.
I'd like to ask how to test your model on a single image (as I noticed in your ECCV 2020 paper). I'm also doing some resear…
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Hi Vasu, please help to change the following publications accordingly.
(1) For "Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring", please change the paper link to "https://githu…
ysnan updated
3 years ago
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Hello,
First,
Do you experiment on dp version before?
I find that dp runs faster than ddp with the same batch_size and GPU numbers, but why do you use ddp to train?
Second,
In the gopro_ds…
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The paper ‘‘Convolutional neural networks for direct text deblurring ’’ and ''Blind image deconvolution using deep generative priors'' were accepted by bmvc'15 and bmvc'19 respectively.
see:
http://…
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Hi, thank you for the great work. I have a question regarding the paper.
KernelGAN estimates down-scale kernel from LR and
considers that kernel to be the kernel of unknown clean HR.
I am wond…
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It would be extremely useful to use the powerfulness of Intel processors to obtain a performative open source comprehansive "denoising suite".
Some interesting resources:
- [Awesome-Denoise](htt…