PWC-Net
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NVlabs
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
I found the flow produced by pwcnet is more blurry than that of flownet2.0. Is it supposed to perform worse? Image:   Flow by Flownet2.0:  Image warped by...
Hello, Could I ask why you normalize the flow by `vgrid[:,0,:,:] = 2.0*vgrid[:,0,:,:].clone() / max(W-1,1)-1.0` in the warping function? Due to minus value in flow, the vgrid could also have...
Hi there, I tried using https://github.com/ClementPinard/Pytorch-Correlation-extension for the correlation with the arguments `(dilation_patch=1, kernel_size=1, stride=1, patch_size=(md * 2 + 1), padding=0)`. But I keep getting weird output for the pre-trained...
Dear Dr. @deqings : I have read your paper(Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation) and code(pytorch). I found there are two inputs...
What's the difference between four caffe models? Which model has the highest accuracy?Which one equal to the pytorch/pwc_net.pth.tar? Thank you!
Dear Dr. @deqings : Thank you for your code.I have reimplemented the PWC-Net with tensorflow.In my code,I find that the net converge so slowly if augment on all of the...
@deqings Dear Sun, Thanks a lot for your excellent work, it really helps me on my current work. I found that you have submitted new pretrained models of your new...
In your article in approach you said that common practice by the traditional methods is to post-process the optical flow using contextual information, such as median filtering and bilateral filtering.Are...
