CDVD-TSP
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The repository is an official implementation of our CVPR2020 paper : Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
" input=correlation.FunctionCorrelation(tensorFirst=tensorFirst, tensorSecond=tensorSecond), AttributeError: module 'model.correlation' has no attribute 'FunctionCorrelation'" Any ideas how to fix this?
Hi, your work is really great. It helps me a lot in my research domain. However, there is a question that can we visualize the output results of TSP module...
How should I change class Decoder if I want to learn Network with additional: torch.nn.Conv2d(in_channels=16, out_channels=16, kernel_size=3, stride=1, padding=1), torch.nn.LeakyReLU(inplace=False, negative_slope=0.1) in each module in Extractor.
Hi, your work is very good. But I do not know how to solve this problem as the following list. Can you tell me? Thanks a lot! 
Thanks for sharing this fantastic work. Would you consider make a Google Collab version available for less-techinically inclined folks like myself to try it out? Thanks in advance.
I'd like to know how fast the model converges
What is class Refiner and class Network in your project?
Loading model from ../pretrain_models/CDVD_TSP_DVD_Convergent.pt Traceback (most recent call last): File "inference.py", line 243, in Infer.infer() File "inference.py", line 123, in infer self.logger.write_log("# Total AVG-PSNR={:.5}, AVG-SSIM={:.4}".format(sum_psnr / n_img, sum_ssim / n_img))...
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Hello. I'm Kang. I run your uploaded training code on GoPro dataset. However, the PSNR of result ranges about 23~24 dB. I just put my dataset path on your code...