or maybe we dont need GANs to generate photo realistic image upscales..

[poisondeathray]

sort of related and on topic - WolframRhodium has a bunch of pre trained models that can be used in vapoursynth with mxnet

https://github.com/WolframRhodium/Super-Resolution-Zoo
https://github.com/WolframRhodium/muvsfunc/blob/9e6a67a0f64b7e76322204f230775647666dd348/Collections/examples/super_resolution_mxnet.vpy

nice to see implementations of various research papers

[WolframRhodium]

sort of related and on topic - WolframRhodium has a bunch of pre trained models that can be used in vapoursynth with mxnet

nice to see implementations of various research papers

Those models are not implemented or even trained by me. I simply convert the models provided by the authors of academic papers or other algorithm engineers that are implemented in other deep learning framework to MXNet. You should attribute the main contribution to them rather than me.

[poisondeathray]

Those models are not implemented or even trained by me. I simply convert the models provided by the authors of academic papers or other algorithm engineers that are implemented in other deep learning framework to MXNet. You should attribute the main contribution to them rather than me.

Right, sorry bad phrasing .

But thanks for converting them to for MXNet compatibility. It's nice to be able to actually test some of these things out. It's extremely difficult to use some of the algorithms outlined in the various papers for typical users

[Wilbert]

Katie-derailment has been moved out to its own thread.
I removed them and restored his/her other thread.

[WolframRhodium]

Right, sorry bad phrasing .

But thanks for converting them to for MXNet compatibility. It's nice to be able to actually test some of these things out. It's extremely difficult to use some of the algorithms outlined in the various papers for typical users

Yes, some algorithms are more inclined to be benchmarks rather than for actual use. Just use the other efficient ones.