Could AI game upscalers (like DLSS/FSR) benefit from lightweight game-specific adapters, especially for handheld gaming?

This is more of a thought experiment than a proposal. I couldn't find much discussion of this in publicly available papers, so I'm wondering whether this has already been explored or whether I'm missing a fundamental limitation.

One thing that surprised me after using my Legion Go is how good 800p can look on an 8.8 inch display. It made me wonder whether handhelds deserve a different AI upscaling strategy than desktop GPUs.

As handheld hardware tries to keep up with future AAA games, internal rendering resolutions may need to drop even further. Reconstructing a convincing 800p or 1080p image from something like 360p could have an enormous payoff because every saved GPU cycle matters on a tiny APU.

AMD is already working on lighter weight versions of FSR for lower power devices, but I was wondering about something slightly different.

Instead of a single universal model, could future versions of DLSS or FSR support lightweight game specific add-ons or tuning layers? I may not be using the right terminology here, but the idea would be something like a small specialization layer that captures a game's rendering characteristics while relying on the existing base model.

The primary goal wouldn't just be image quality. It would be achieving the same or better image quality from an even lower base resolution, particularly on low power hardware. While handhelds motivated the idea, I could also see desktop GPUs benefiting from the same approach.

Has anyone seen research exploring this direction, or is there a fundamental reason it wouldn't translate well to neural rendering?