I don't think the goal of this is to make games look better. Especially the GTAV dataset is often used as a synthetic dataset for research. The appeal is that

I don't think the goal of this is to make games look better. Especially the GTAV dataset is often used as a synthetic dataset for research. The appeal is that you can extract normal/material and other semantic information from the game engine for a driving scene. Basically avoid expensive segmentation labels on real data by working the other way around. Things like this synthetic to real translation can then be used for other downstream tasks (semantic segmentation, distance/normal prediction).