I need to incorporate a small amount of 1080p HD shots in a 2160p 4K composition. I'm not impressed by default upscaling techniques like lanczos/bicubic/trilinear; it seems like my television does a better job of upscaling 1080p in real time. It may be time to learn some new tricks.
The FFmpeg manual mention a technique called Super Resolution, and it comes in two forms:
SRCNN: Super-Resolution Convolutional Neural Network model
ESPCN: Efficient Sub-Pixel Convolutional Neural Network model
Usually I can find many online sources for figuring out how to do something with FFmpeg. But I can't seem to find any tutorials on how to use this. I don't really understand it. I need to train (how?) a model (from what?), or get a pre-trained model (where?). I'd like to know how to get from 1080p to 2160p using this technique, assuming I know nothing about it.