FFDNet
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cszn
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
Hi, I was wondering if anyone can help with implementing non-uniform noise level map in the Pytorch version. It is only implemented for the MATLAB version in the existing codes....
Hello Sir. I tried to get "main_train_ffdnet.py" . When I clicked link, but I couldn't get this file. How to get this file.. Thanks,,, Edward Cho.
I use the Train400 dataset for FFDNet-master\TrainingCodes\FFDNet_TrainingCodes_v1.0\Demo_Train_FFDNet_gray.m. The training looks no problem, outputs like below - train: epoch 499 : 1/ 4: loss: 2.3612 train: epoch 499 : 2/ 4:...
I use your matlab version and pytorch for test ffdnet color model, matlab version's time is about 20ms, but pytorch version's time is about 1s. Cuda version is 8.0 and...
Hi, I tried to use an abstract interpretation based verifier to over-approximate and analyze your network FFDNet. But the network contains 175,616 neurons, 15 layers to denoise even mnist image....
I noticed that you mentioned RGB version of AWGN spatially variant denoising, but I don't find it in this repo. Is there RGB version AWGN spatially variant denoising pre-trained model...
@cszn Can you release the code for training ? It is a long time....
please! When I use the pytorch model, I meet an error. I want to denoise an image using a one of the pretrained models python test_ffdnet_ipol.py \ --input input.png \...
