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AI's Silent Hill 1 Remake Proves Artificial Intelligence Has A Long Way To Go

Artificial intelligence can seem like an interesting tool for upscaling classic games, but if there's anything that some samples with the original prove, it's that the technology still has some serious limitations. AI has recently been a hot-button issues, with a lot of legitimate concerns about corporations replacing the artistic efforts and livelihoods of real people with comparatively soulless and low-quality AI content. There are some areas where AI can provide useful services outside of original creative work, but even when attempting possibly valid endeavors, the end results might not always be ideal.

AI upscaling is a concept that's been around for a bit longer than the newer wave of AI-generated images and videos, arriving as a natural extension of upscaling software and processes that were already dependent on software. In theory, AI can be used to extrapolate low-resolution detail for a high-definition result, which can be useful when the source material is lacking. In the case of games, the obvious application lies in the limited textural detail of older standard-definition games, which look blurry or pixelated on modern displays.

An example of what an AI-upscaled might look like was provided by Reddit user AndrePeniche, who posted a series of screenshots from the game that they ran through an upscaler called Krea. The AI handles some of the simpler challenges in the images fairly well, like clarifying detail in dirty, weathered walls. When it comes to tasks that require a more nuanced touch, however, things can quickly fall apart. The best example of this is the single screenshot thrown in, where the Twin Victims — already thoroughly detailed in the original screenshot — become an uncanny mess.

Characters are the biggest problem in the upscaled images in general, gaining uncanny and inaccurate appearances.

The easiest argument to make in favor of the look is that is supposed to be weird and unsettling, and the unconvincing quality of AI upscaling could

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