Hacker News Reader

I feel like this tech is a dead end. If it could instead generate 3d models which are then rendered, that would be immensely useful. Eliminates memory and playtime constraints, allows it to be embedded in applications like games. But this? Where do we go from here? Even if we eliminate all graphical issues and get latency from 1s to 0, what purpose does it serve?

View on HN

I think the most likely path forward for commercialization/widespread use is to use AI as a post-processing filter for low poly games. Imagine if you could take low quality/low poly assets, run it through a game engine to add some basic lighting, then pass this through AI to get a photo-realistic image. This solves the most egregious cases of world inconsistency and still allows for creative human fine-tuning. The trick will be getting the post-processor to run at a reasonable frame rate.

Don’t we already have upscalers which are frequently used in games for this purpose? Maybe they could go further and get better but I’d expect a model specifically designed to improve the quality of an existing image to be better/more efficient at doing so than an image generation model retrofitted to this purpose.

Reply on news.ycombinator.com