ProGamerGov

Comparing my latest PyTorch code with `neural_style.lua`, shows that the same level of stylization is achieved, in both scripts when the same content and style weights are used: * Neural-Style...

For the total variation denoising, the [current implementation](https://gist.github.com/ProGamerGov/89973941721107f0bf713edfcfb467cf#file-lossmodulesnew-py-L73-L89)'s results in some color related issues. `-tv_weight 0.1`: * Neural-Style's output is on the left, and the PyTorch code's output is on...

> I guess you have copied some python code where an image is stored as h x w x c. This particular implementation had been used in many different PyTorch...

I've gotten multiple style images, style blend weights and printing layer specific loss values working now: https://gist.github.com/ProGamerGov/89973941721107f0bf713edfcfb467cf Known issues: * Using `-init random` produces a grey output image. But I...

I hadn't tested `-init random` since some of the major fixes, so I guess it was only broken because something else was broken. Average pooling also works now. I've also...

I have fixed the pooling parameter issue, removed some useless/unneeded code, added the NIN model to the `download_models.py` script, and I have tried to clean up the code: https://gist.github.com/ProGamerGov/89973941721107f0bf713edfcfb467cf I've...

> Works here now, also got the model sorted out. Only that there's a wrong indentation in one of your files. @htoyryla Does this issue still exist my updated code?...

@htoyryla I have been downloading and using the code I upload here, in order to make sure that it works. But for whatever reason, I wasn't getting an error for...

So in Neural-Style, the gradient is run through all the lower loss modules, regardless of whether or not they are style or content modules? Your [old comment](https://github.com/jcjohnson/neural-style/issues/450#issuecomment-375290403) seems to imply...

I tried using a single backward() and compared that with the current backward() setup, and there was very little change. Using this in the feval function while commenting out the...