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Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).

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I have some trouble. I can't solve it. I'm sorry Traceback (most recent call last): File "train.py", line 249, in main() File "train.py", line 107, in main train_set = create_dataset(dataset_opt)...

Hello, this is a very worthwhile paper, but I have a question for you now. Can you provide the code for the "PCA Visualization Results" part of your paper?Thank you...

NICE work~ I tried to use thop on your code to calculate FLOPs, but there will always be errors. Could you please provide the code you report to calculate flops

hello. you paper is very good .but your train dataset is the ssid only?

Hi, thanks for your great work and sharing. I tested the pre-trained model with my test image, and it generated some artifaces. Have you ever encountered this? Any suggestions for...

How do i try it on a single rgb image without any dataset?

i can download DND dataset, but i run code with some bugs.Could can you tell me how to use .mat file? i should convert it to .JPG?

Hello in line 12 of Denoised_LR.py file there is "from codes.models.modules.VDN import VDN as DN" but in there is any VDN module or function so this generate me an error...

Hello! I read in the paper that the network is also able to generate noise: "Further, via manipulating the noisy latent representation, InvDN is also able to generate noise more...