Enhance! RAISR Sharp Images with Machine Learning

>>57547136

Oh, i forgot the link:

https://research.googleblog.com/2016/11/enhance-raisr-sharp-images-with-machine.html

>>57547136
So this is basically just waifu2x trained on a different set of images.

How long until there's an mpv filter?

>>57547155
Looks like it, hah.

However,
>allowing it to be run on a typical mobile device in real-time
waifu2x is fairly slow, even with a ton of CUDA cores it takes around 1-5 seconds per frame.
Not sure what Google's definition is of "real-time" here though.

Since this is the only machine learning thread on /g/ right now, miles-deep just got updated. Scores and coverage should work now. All it needs is a toys and masturbation label and this shit is gold.

https://github.com/ryanjay0/miles-deep

>>57547927
The problem with strong NN upscalers like waifu is that the models are big and slow to evaluate as they work on the picture as a whole. This is the trick google uses:

The core idea behind RAISR is to enhance the quality of a very cheap (e.g. bilinear) interpolation method by applying a set of pre-learned filters on the image patches, chosen by an efficient hashing mechanism.

I think that NNEDI/NG1 actually does something slightly similiar but weakly - being video deinterlacers/upscalers, it can "train" layers from local temporal domain of past frames (ie model is built on the fly).

>>57550029
>Be pretty smart amd understand machine learning
>Better use my skillset to categorise scenes of porn so i can view porn with maximum efficiency