Microsoft wants to use machine learning to improve poor game textures

Microsoft is always experimenting with new ideas and recently, we learned of something quite radical PlayFab is doing. According to an interview between Microsoft Game Stack General Manager James Gwertzman and VentureBeat, the visitor is using machine learning (ML) to improve low-resolution textures in real time. You can read what he said below.

You were talking about automobile learning and content generation. I call up that's going to be interesting. One of the studios within Microsoft has been experimenting with using ML models for asset generation. Information technology's working scarily well. To the signal where we're looking at shipping really low-res textures and having ML models uprez the textures in real time. You can't tell the difference betwixt the mitt-authored high-res texture and the machine-scaled-up low-res texture, to the point that you may as well ship the depression-res texture and let the machine do information technology... Similar literally not having to transport massive 2K by 2K textures. You tin ship tiny textures... The download is way smaller, but there's no appreciable departure in game quality. Think of information technology more similar a magical pinch engineering science. That's really magical. It takes a huge R&D budget. I await at things like that and say — either this is the next hard thing to compete on, hiring data scientists for a game studio, or it's a product opportunity. Nosotros could be providing technologies like this to everyone to level the playing field once more.

If this technology makes its way to "Project xCloud," it could be a game-changer. However, only time volition tell. What exercise you desire to see Microsoft do with its next-generation products? Let u.s.a. know.

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