Simon Niklaus

Are you sure that it is still not supported by nngraph? I have been using cudnn.convert together with nngraph for months without any issues, all modules have been converted just...

The easiest way would be to print a warning and still proceed with the conversion. I just removed the check and continued to use it as usual. I have been...

@Amir-Arsalan Are you sure that you are using the most recent version of cudnn.torch? I see no reason why CUDA 8.0 should change anything.

Thanks for bringing this to my attention. If you happen to have an input image where this artifact occurs I would be grateful if you could share it with me...

I agree that it would be useful to have a better documentation, I will add some comments once I have some spare time. I am afraid that this may take...

Yes, I am planning to release the dataset since I acknowledge its usefulness for the research community. I have yet to start the necessary paperwork though and unfortunately have no...

It took me three months to create the dataset, so there is quite a lot of know-how that I acquired during this time. I have also gone through several iterations...

The method is trained to operate at a resolution of `1024 * x` or `x * 1024` where `x` < 1024 (your input image automatically gets rescaled). There may also...

Please see: #23 I am afraid that I have not made any efforts to adopt PWC-Net+ yet. I am thus leaving this issue open since I agree that it would...

> You train using batch size 16, Adamax optimizer with lr=0.001 I don't believe we outlined this in our paper. Anyways, we used a batch size of 8 but whether...