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Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also sup...

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Can you provide the trainning code of DFDNet?

![image](https://user-images.githubusercontent.com/49893582/107039729-39d96c00-67f9-11eb-8a56-40978c196bc8.png) thanks for your job. May I ask which model is used for video/image denoise and can these models be transformed to Caffe/ONNX/Tensorflow-Lite?

can you tell me where is sft_arch.py? THANK YOU

I am thinking using sum will let the loss magnitude change if we change the batch size or input resolution. Is there any reason to use 'sum' instead of 'mean'?...

Hi, EDVR is a amazing model, but its compution effort is large. Could we use some tech like group convolution to reduce the FLOPS? As https://github.com/DestinyK/MobileSR shows it use "parallel...

I got unsatisfying results when trying to reproduce your results! The following is what I did: I used the matlab downsample kernel, and I only used the DIV2K as the...

Hi, xinntao. I implemented your training code with DF2K dataset and I get the corresponding result: x4 | Set5 | Set14 | Urban100 | BSD100 | Manga109 Baseline | 32.61/0.9003...

Thanks for your wonderful job! I want to visualize the feature maps of the interlayers in the network, can you give me some help. I think this part of the...

Thanks for your amazing work. IF POSSIBLE, I am going to implement image super resolution app via android studio by using your repo . I wanna know that if this...

Hello: I want to retrain the PSNR pretrain models for ESRGAN,what i should do?