Just scrape all the seeds into a mortar and pestle, grind them, throw the beans in some alcohol (rum, bourbon style Canadian whiskey, sherry), soak then leave them in a sugar bowl and save the sugar.
Now take the vanilla bean paste from your pestle and put it directly in my mouth.
The original source is clearer:
So basically, they treated the whole render process as frame-in frame-out predictions. But by using traditional rendering techniques instead of pure ML the whole system gets faster and better (no surprise to me on that).
Games expect 3x upscaling now to meet performance targets, and ML requires exponentially more data to train a geberal model and test PSSR on a game — that’s the GPU month thing, if I had 30 GPUs it would take 1 day to train 1GPU month (ish — depends on gpu/etc).
The 540p thing is the training goes 4K -> downsample to 1080p -> downscale to 540p as an autencoder (model that tries to predict original input from progressively downscaled/bottle necked layers, with the idea it learns the best representation this way — not actually true though, not relevant here though).
The new model does the same ML but finishes with traditional compositing. That is to say, do you need an ML model to blend 50% blue onto yellow? No, you can use simple math and your ML can focus on the harder bits. So this all works faster and better with HDR. So now less work is done on that and more work is spent on upscaling.
The new model is also more deterministic, so it won’t hallucinate artifacts or turn your main character into a blond instagram model like NVidia DLSS.
Tl;dr, by replacing ML with traditional rendering you do less work, it’s faster to train and cheaper, and it does a better job overall.